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Examples/README.md
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Examples of FCL files (with data)
=======================================
This directory contains some examples of FCL files, along with data
that can be used to test them.
These files were gathered from two sources:
* [jFuzzyLogic](http://jfuzzylogic.sourceforge.net/)
GNU Lesser General Public License (GPL) 3.0
* [FuzzyLite](http://www.fuzzylite.com/)
GNU General Public License (GPL) 3.0
The files in this folder are a _subset_ of those provided by these
tools. I've removed any FCL files that used features not (yet)
supported by `scikit-fuzzy`. For `FuzzyLite` I've only used the
mamdani-style examples - this is a small subset of those supplied with
the tool. Also, I've tweaked some of the RANGEs for fuzzy variables
(or added them if not there), since this can have a dramatic effect on
the accuracy of the results.
Test Data
---------
Each of the FCL files in this folder is accompanied by an `.fld` file
which contains test data: basically a list of values for the input and
output variables. In the case of FuzzyLite these were supplied with
the tool. For jFuzzyLogic I ran the tool with some sample inputs;
since jFuzzyLogic also reports rule fire-strengths, I've included
these in the `.fld` file too as they helped with debugging.
The purpose of these files is to test the implementation: when we run
the same files through `scikit-fuzzy` we should get mostly the same
answers as the original tools.
The script [simulate.py](../simulate.py) can be used to run these -
note that running them _all_ make take a while.
Example run:
```
> python3 simulate.py Examples/jFuzzyLogic/tipper.fcl
======================================================================
= Examples/jFuzzyLogic/tipper.fcl on 08 Sep 2018 at 16:06
======================================================================
----------------------------------------------------------------------
Run 0: food=0.00 service=0.00
Output variables:
tip=5.00 CORRECT, ERROR=0.0%
Rule fire-strengths for test case 0:
RULE No1.1 = 1.00 (CORRECT)
RULE No1.2 = 0.00 (CORRECT)
RULE No1.3 = 0.00 (CORRECT)
----------------------------------------------------------------------
.....
```
[James Power](http://www.cs.nuim.ie/~jpower/),
8 Sept 2018.

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Examples/fuzzylite-mamdani/AllTerms.fcl
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//Code automatically generated with fuzzylite 6.0.
FUNCTION_BLOCK AllTerms
VAR_INPUT
AllInputTerms: REAL;
END_VAR
VAR_OUTPUT
AllOutputTerms: REAL;
END_VAR
FUZZIFY AllInputTerms
RANGE := (0.000 .. 6.500);
TERM A := Sigmoid 0.500 -20.000;
TERM B := ZShape 0.000 1.000;
TERM C := Ramp 1.000 0.000;
TERM D := Triangle 0.500 1.000 1.500;
TERM E := Trapezoid 1.000 1.250 1.750 2.000;
TERM F := Concave 0.850 0.250;
TERM G := Rectangle 1.750 2.250;
TERM H := (2.000, 0.000) (2.250, 1.000) (2.500, 0.500) (2.750, 1.000) (3.000, 0.000);
TERM I := Gaussian 3.000 0.200;
TERM J := Cosine 3.250 0.650;
TERM K := GaussianProduct 3.500 0.100 3.300 0.300;
TERM L := Spike 3.640 1.040;
TERM M := Bell 4.000 0.250 3.000;
TERM N := PiShape 4.000 4.500 4.500 5.000;
TERM O := Concave 5.650 6.250;
TERM P := SigmoidDifference 4.750 10.000 30.000 5.250;
TERM Q := SigmoidProduct 5.250 20.000 -10.000 5.750;
TERM R := Ramp 5.500 6.500;
TERM S := SShape 5.500 6.500;
TERM T := Sigmoid 6.000 20.000;
END_FUZZIFY
DEFUZZIFY AllOutputTerms
RANGE := (0.000 .. 6.500);
TERM A := Sigmoid 0.500 -20.000;
TERM B := ZShape 0.000 1.000;
TERM C := Ramp 1.000 0.000;
TERM D := Triangle 0.500 1.000 1.500;
TERM E := Trapezoid 1.000 1.250 1.750 2.000;
TERM F := Concave 0.850 0.250;
TERM G := Rectangle 1.750 2.250;
TERM H := (2.000, 0.000) (2.250, 1.000) (2.500, 0.500) (2.750, 1.000) (3.000, 0.000);
TERM I := Gaussian 3.000 0.200;
TERM J := Cosine 3.250 0.650;
TERM K := GaussianProduct 3.500 0.100 3.300 0.300;
TERM L := Spike 3.640 1.040;
TERM M := Bell 4.000 0.250 3.000;
TERM N := PiShape 4.000 4.500 4.500 5.000;
TERM O := Concave 5.650 6.250;
TERM P := SigmoidDifference 4.750 10.000 30.000 5.250;
TERM Q := SigmoidProduct 5.250 20.000 -10.000 5.750;
TERM R := Ramp 5.500 6.500;
TERM S := SShape 5.500 6.500;
TERM T := Sigmoid 6.000 20.000;
METHOD : COG;
ACCU : MAX;
DEFAULT := nan;
END_DEFUZZIFY
RULEBLOCK
AND : MIN;
OR : MAX;
ACT : MIN;
RULE 1 : if AllInputTerms is A then AllOutputTerms is T
RULE 2 : if AllInputTerms is B then AllOutputTerms is S
RULE 3 : if AllInputTerms is C then AllOutputTerms is R
RULE 4 : if AllInputTerms is D then AllOutputTerms is Q
RULE 5 : if AllInputTerms is E then AllOutputTerms is P
RULE 6 : if AllInputTerms is F then AllOutputTerms is O
RULE 7 : if AllInputTerms is G then AllOutputTerms is N
RULE 8 : if AllInputTerms is H then AllOutputTerms is M
RULE 9 : if AllInputTerms is I then AllOutputTerms is L
RULE 10 : if AllInputTerms is J then AllOutputTerms is K
RULE 11 : if AllInputTerms is K then AllOutputTerms is J
RULE 12 : if AllInputTerms is L then AllOutputTerms is I
RULE 13 : if AllInputTerms is M then AllOutputTerms is H
RULE 14 : if AllInputTerms is N then AllOutputTerms is G
RULE 15 : if AllInputTerms is O then AllOutputTerms is F
RULE 16 : if AllInputTerms is P then AllOutputTerms is E
RULE 17 : if AllInputTerms is Q then AllOutputTerms is D
RULE 18 : if AllInputTerms is R then AllOutputTerms is C
RULE 19 : if AllInputTerms is S then AllOutputTerms is B
RULE 20 : if AllInputTerms is T then AllOutputTerms is A
END_RULEBLOCK
END_FUNCTION_BLOCK

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Examples/fuzzylite-mamdani/AllTerms.fld
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Examples/fuzzylite-mamdani/LICENSE
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58
Examples/fuzzylite-mamdani/Laundry.fcl
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//Code automatically generated with fuzzylite 6.0.
FUNCTION_BLOCK Laundry
VAR_INPUT
Load: REAL;
Dirt: REAL;
END_VAR
VAR_OUTPUT
Detergent: REAL;
Cycle: REAL;
END_VAR
FUZZIFY Load
RANGE := (0.000 .. 6.000);
TERM small := (0.000, 1.000) (1.000, 1.000) (2.000, 0.800) (5.000, 0.000);
TERM normal := (3.000, 0.000) (4.000, 1.000) (6.000, 0.000);
END_FUZZIFY
FUZZIFY Dirt
RANGE := (0.000 .. 6.000);
TERM low := (0.000, 1.000) (2.000, 0.800) (5.000, 0.000);
TERM high := (1.000, 0.000) (2.000, 0.200) (4.000, 0.800) (6.000, 1.000);
END_FUZZIFY
DEFUZZIFY Detergent
RANGE := (0.000 .. 80.000);
TERM less_than_usual := (10.000, 0.000) (40.000, 1.000) (50.000, 0.000);
TERM usual := (40.000, 0.000) (50.000, 1.000) (60.000, 1.000) (80.000, 0.000);
TERM more_than_usual := (50.000, 0.000) (80.000, 1.000);
METHOD : MM;
ACCU : MAX;
DEFAULT := nan;
END_DEFUZZIFY
DEFUZZIFY Cycle
RANGE := (0.000 .. 20.000);
TERM short := (0.000, 1.000) (10.000, 1.000) (20.000, 0.000);
TERM long := (10.000, 0.000) (20.000, 1.000);
METHOD : MM;
ACCU : MAX;
DEFAULT := nan;
END_DEFUZZIFY
RULEBLOCK
AND : MIN;
OR : MAX;
ACT : MIN;
RULE 1 : if Load is small and Dirt is not high then Detergent is less_than_usual
RULE 2 : if Load is small and Dirt is high then Detergent is usual
RULE 3 : if Load is normal and Dirt is low then Detergent is less_than_usual
RULE 4 : if Load is normal and Dirt is high then Detergent is more_than_usual
RULE 5 : if Detergent is usual or Detergent is less_than_usual then Cycle is short
RULE 6 : if Detergent is more_than_usual then Cycle is long
END_RULEBLOCK
END_FUNCTION_BLOCK

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34
Examples/fuzzylite-mamdani/ObstacleAvoidance.fcl
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//Code automatically generated with fuzzylite 6.0.
FUNCTION_BLOCK ObstacleAvoidance
VAR_INPUT
obstacle: REAL;
END_VAR
VAR_OUTPUT
mSteer: REAL;
END_VAR
FUZZIFY obstacle
RANGE := (0.000 .. 1.000);
TERM left := Ramp 1.000 0.000;
TERM right := Ramp 0.000 1.000;
END_FUZZIFY
DEFUZZIFY mSteer
RANGE := (0.000 .. 1.000);
TERM left := Ramp 1.000 0.000;
TERM right := Ramp 0.000 1.000;
METHOD : COG;
ACCU : MAX;
DEFAULT := nan;
END_DEFUZZIFY
RULEBLOCK mamdani
ACT : PROD;
RULE 1 : if obstacle is left then mSteer is right
RULE 2 : if obstacle is right then mSteer is left
END_RULEBLOCK
END_FUNCTION_BLOCK

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37
Examples/fuzzylite-mamdani/SimpleDimmer.fcl
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//Code automatically generated with fuzzylite 6.0.
FUNCTION_BLOCK SimpleDimmer
VAR_INPUT
Ambient: REAL;
END_VAR
VAR_OUTPUT
Power: REAL;
END_VAR
FUZZIFY Ambient
RANGE := (0.000 .. 1.000) WITH .01;
TERM DARK := Triangle 0.000 0.250 0.500;
TERM MEDIUM := Triangle 0.250 0.500 0.750;
TERM BRIGHT := Triangle 0.500 0.750 1.000;
END_FUZZIFY
DEFUZZIFY Power
RANGE := (0.000 .. 1.000) WITH .01;
TERM LOW := Triangle 0.000 0.250 0.500;
TERM MEDIUM := Triangle 0.250 0.500 0.750;
TERM HIGH := Triangle 0.500 0.750 1.000;
METHOD : COG;
ACCU : MAX;
DEFAULT := nan;
END_DEFUZZIFY
RULEBLOCK
ACT : MIN;
RULE 1 : if Ambient is DARK then Power is HIGH
RULE 2 : if Ambient is MEDIUM then Power is MEDIUM
RULE 3 : if Ambient is BRIGHT then Power is LOW
END_RULEBLOCK
END_FUNCTION_BLOCK

1025
Examples/fuzzylite-mamdani/SimpleDimmer.fld
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51
Examples/fuzzylite-mamdani/SimpleDimmerChained.fcl
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//Code automatically generated with fuzzylite 6.0.
FUNCTION_BLOCK SimpleDimmerChained
VAR_INPUT
Ambient: REAL;
END_VAR
VAR_OUTPUT
Power: REAL;
InversePower: REAL;
END_VAR
FUZZIFY Ambient
RANGE := (0.000 .. 1.000);
TERM DARK := Triangle 0.000 0.250 0.500;
TERM MEDIUM := Triangle 0.250 0.500 0.750;
TERM BRIGHT := Triangle 0.500 0.750 1.000;
END_FUZZIFY
DEFUZZIFY Power
RANGE := (0.000 .. 1.000);
TERM LOW := Triangle 0.000 0.250 0.500;
TERM MEDIUM := Triangle 0.250 0.500 0.750;
TERM HIGH := Triangle 0.500 0.750 1.000;
METHOD : COG;
ACCU : MAX;
DEFAULT := nan;
END_DEFUZZIFY
DEFUZZIFY InversePower
RANGE := (0.000 .. 1.000);
TERM LOW := Cosine 0.200 0.500;
TERM MEDIUM := Cosine 0.500 0.500;
TERM HIGH := Cosine 0.800 0.500;
METHOD : COG;
ACCU : MAX;
DEFAULT := nan;
END_DEFUZZIFY
RULEBLOCK
ACT : MIN;
RULE 1 : if Ambient is DARK then Power is HIGH
RULE 2 : if Ambient is MEDIUM then Power is MEDIUM
RULE 3 : if Ambient is BRIGHT then Power is LOW
RULE 4 : if Power is LOW then InversePower is HIGH
RULE 5 : if Power is MEDIUM then InversePower is MEDIUM
RULE 6 : if Power is HIGH then InversePower is LOW
END_RULEBLOCK
END_FUNCTION_BLOCK

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Examples/fuzzylite-mamdani/SimpleDimmerChained.fld
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165
Examples/jFuzzyLogic/LICENSE
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@ -1,165 +0,0 @@
GNU LESSER GENERAL PUBLIC LICENSE
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55
Examples/jFuzzyLogic/QoS/LarsenQoSFewRules.fcl
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@ -1,55 +0,0 @@
FUNCTION_BLOCK LarsenQoSFewRules
VAR_INPUT
commitment : REAL;
clarity : REAL;
influence : REAL;
END_VAR
VAR_OUTPUT
service_quality : REAL;
END_VAR
FUZZIFY commitment
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for commitment
END_FUZZIFY
FUZZIFY clarity
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for clarity
END_FUZZIFY
FUZZIFY influence
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for influence
END_FUZZIFY
DEFUZZIFY service_quality
TERM inadequate := GAUSS 0 1;
TERM sufficient := GAUSS 2.5 1;
TERM excellent := GAUSS 5 1;
METHOD : COG;
DEFAULT := 0;
RANGE := (-4.0 .. 9.0); // Added range for service_quality
END_DEFUZZIFY
RULEBLOCK No1
AND : PROD;
ACCU : MAX;
RULE 1 : IF commitment IS fully AND influence IS high THEN service_quality IS excellent;
RULE 2 : IF commitment IS partially AND clarity IS high AND influence IS low THEN service_quality IS sufficient;
RULE 3 : IF commitment IS nothing THEN service_quality IS inadequate;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/QoS/LarsenQoSFewRules.fld
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@ -1,126 +0,0 @@
clarity commitment influence service_quality No1.1 No1.2 No1.3
-4.0 -4.0 -4.0 0.11814588732224174 6.639677199580735E-36 1.3164881474367886E-29 3.3546262790251185E-4
-4.0 -4.0 -1.4 0.11814588732224174 3.286415676451725E-27 1.4728693217741432E-26 3.3546262790251185E-4
-4.0 -4.0 1.2000000000000002 0.11814588732224174 1.8856770853470695E-21 1.9102085371358956E-26 3.3546262790251185E-4
-4.0 -4.0 3.8 0.11814588732224174 1.2542423359420818E-18 2.8718823814904615E-29 3.3546262790251185E-4
-4.0 -4.0 6.4 0.11814588732224174 9.670855421101112E-19 5.005204418506582E-35 3.3546262790251185E-4
-4.0 -1.4 -4.0 2.1440130067640695E-4 3.286415676451725E-27 2.6699032394713253E-24 0.37531109885139957
-4.0 -1.4 -1.4 2.1440130067640695E-4 1.6266646214532314E-18 2.9870520149985134E-21 0.37531109885139957
-4.0 -1.4 1.2000000000000002 2.1440130820477154E-4 9.333463883457657E-13 3.873997628687189E-21 0.37531109885139957
-4.0 -1.4 3.8 2.144090802361429E-4 6.208075409403594E-10 5.8243198684705E-24 0.37531109885139957
-4.0 -1.4 6.4 2.1440721360819752E-4 4.786746389208764E-10 1.0150802737727316E-29 0.37531109885139957
-4.0 1.2000000000000002 -4.0 1.9531210161944423E-4 1.8856770853470695E-21 6.27687374904115E-22 0.48675225595997157
-4.0 1.2000000000000002 -1.4 1.9531210789947975E-4 9.333463883457657E-13 7.022482351711461E-19 0.48675225595997157
-4.0 1.2000000000000002 1.2000000000000002 2.0298466893760368E-4 5.35534780279311E-7 9.107668645013996E-19 0.48675225595997157
-4.0 1.2000000000000002 3.8 0.006619048840501731 3.562064783070342E-4 1.3692825997566989E-21 0.48675225595997157
-4.0 1.2000000000000002 6.4 0.005108750846418389 2.7465356997214227E-4 2.3864275788793028E-27 0.48675225595997157
-4.0 3.8 -4.0 0.05592821568344743 1.2542423359420818E-18 1.7106476574743098E-22 7.318024188804728E-4
-4.0 3.8 -1.4 0.05593013860181266 6.208075409403594E-10 1.9138497068616342E-19 7.318024188804728E-4
-4.0 3.8 1.2000000000000002 1.5301815892116188 3.562064783070342E-4 2.4821292661853207E-19 7.318024188804728E-4
-4.0 3.8 3.8 4.977155265586825 0.23692775868212168 3.731730420819674E-22 7.318024188804728E-4
-4.0 3.8 6.4 4.971945843841512 0.18268352405273452 6.503773870177941E-28 7.318024188804728E-4
-4.0 6.4 -4.0 1.274193733749591 9.670855421101112E-19 5.404394494224472E-26 1.2754076295260396E-9
-4.0 6.4 -1.4 1.7691439975272403 4.786746389208764E-10 6.046364237161134E-23 1.2754076295260396E-9
-4.0 6.4 1.2000000000000002 4.851873305784807 2.7465356997214227E-4 7.841711694114211E-23 1.2754076295260396E-9
-4.0 6.4 3.8 4.999596457247931 0.18268352405273452 1.1789536700961867E-25 1.2754076295260396E-9
-4.0 6.4 6.4 4.999475787552176 0.14085842092104486 2.0547165012090466E-31 1.2754076295260396E-9
-1.4 -4.0 -4.0 0.11814588732224174 6.639677199580735E-36 6.516171126319744E-21 3.3546262790251185E-4
-1.4 -4.0 -1.4 0.11814588732224271 3.286415676451725E-27 7.290205055072584E-18 3.3546262790251185E-4
-1.4 -4.0 1.2000000000000002 0.11814588732224349 1.8856770853470695E-21 9.454886273886531E-18 3.3546262790251185E-4
-1.4 -4.0 3.8 0.11814588732224174 1.2542423359420818E-18 1.42148465893067E-20 3.3546262790251185E-4
-1.4 -4.0 6.4 0.11814588732224174 9.670855421101112E-19 2.4774069236173352E-26 3.3546262790251185E-4
-1.4 -1.4 -4.0 2.144013006811132E-4 3.286415676451725E-27 1.3215118140625677E-15 0.37531109885139957
-1.4 -1.4 -1.4 2.1440131306941333E-4 1.6266646214532314E-18 1.4784897327670847E-12 0.37531109885139957
-1.4 -1.4 1.2000000000000002 2.1440131709138892E-4 9.333463883457657E-13 1.9174978172520684E-12 0.37531109885139957
-1.4 -1.4 3.8 2.144090802361429E-4 6.208075409403594E-10 2.882841370905708E-15 0.37531109885139957
-1.4 -1.4 6.4 2.1440721360819752E-4 4.786746389208764E-10 5.024304080316231E-21 0.37531109885139957
-1.4 1.2000000000000002 -4.0 1.9531210351410677E-4 1.8856770853470695E-21 3.106840237543436E-13 0.48675225595997157
-1.4 1.2000000000000002 -1.4 1.953156195923943E-4 9.333463883457657E-13 3.475891281239913E-10 0.48675225595997157
-1.4 1.2000000000000002 1.2000000000000002 2.0298466893760368E-4 5.35534780279311E-7 4.50798798061928E-10 0.48675225595997157
-1.4 1.2000000000000002 3.8 0.006619048840501731 3.562064783070342E-4 6.77748581153485E-13 0.48675225595997157
-1.4 1.2000000000000002 6.4 0.005108750846418389 2.7465356997214227E-4 1.1812009485101043E-18 0.48675225595997157
-1.4 3.8 -4.0 0.055928215817828315 1.2542423359420818E-18 8.467127406079305E-14 7.318024188804728E-4
-1.4 3.8 -1.4 0.05593013860181266 6.208075409403594E-10 9.472908832676052E-11 7.318024188804728E-4
-1.4 3.8 1.2000000000000002 1.5301815892116188 3.562064783070342E-4 1.2285700473339503E-10 7.318024188804728E-4
-1.4 3.8 3.8 4.977155265586825 0.23692775868212168 1.8470803604801732E-13 7.318024188804728E-4
-1.4 3.8 6.4 4.971945843841512 0.18268352405273452 3.219148124309352E-19 7.318024188804728E-4
-1.4 6.4 -4.0 1.2741937361045474 9.670855421101112E-19 2.6749925114838757E-17 1.2754076295260396E-9
-1.4 6.4 -1.4 1.7691439975272403 4.786746389208764E-10 2.9927458244202264E-14 1.2754076295260396E-9
-1.4 6.4 1.2000000000000002 4.851873305784807 2.7465356997214227E-4 3.88138210143395E-14 1.2754076295260396E-9
-1.4 6.4 3.8 4.999596457247931 0.18268352405273452 5.835421974217454E-17 1.2754076295260396E-9
-1.4 6.4 6.4 4.999475787552176 0.14085842092104486 1.017015182705546E-22 1.2754076295260396E-9
1.2000000000000002 -4.0 -4.0 0.11814588733053943 6.639677199580735E-36 3.738843709012425E-15 3.3546262790251185E-4
1.2000000000000002 -4.0 -1.4 0.11814590706366652 3.286415676451725E-27 4.182968307488742E-12 3.3546262790251185E-4
1.2000000000000002 -4.0 1.2000000000000002 0.11814591342684355 1.8856770853470695E-21 5.42501744955155E-12 3.3546262790251185E-4
1.2000000000000002 -4.0 3.8 0.11814588734260972 1.2542423359420818E-18 8.156183856243035E-15 3.3546262790251185E-4
1.2000000000000002 -4.0 6.4 0.11814588732224174 9.670855421101112E-19 1.42148465893067E-20 3.3546262790251185E-4
1.2000000000000002 -1.4 -4.0 2.1441090426171526E-4 3.286415676451725E-27 7.582560427911914E-10 0.37531109885139957
1.2000000000000002 -1.4 -1.4 2.2419211642465433E-4 1.6266646214532314E-18 8.483267135001927E-7 0.37531109885139957
1.2000000000000002 -1.4 1.2000000000000002 2.2700953918110934E-4 9.333463883457657E-13 1.1002204380606938E-6 0.37531109885139957
1.2000000000000002 -1.4 3.8 2.14422693302235E-4 6.208075409403594E-10 1.6541145274954016E-9 0.37531109885139957
1.2000000000000002 -1.4 6.4 2.1440721360819752E-4 4.786746389208764E-10 2.882841370905708E-15 0.37531109885139957
1.2000000000000002 1.2000000000000002 -4.0 1.97099029194876E-4 1.8856770853470695E-21 1.7826404266958715E-7 0.48675225595997157
1.2000000000000002 1.2000000000000002 -1.4 0.001797132556082525 9.333463883457657E-13 1.9943942536412287E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 1.2000000000000002 0.002252747097245062 5.35534780279311E-7 2.5865899122206357E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 3.8 0.006619048840501731 3.562064783070342E-4 3.888780650192924E-7 0.48675225595997157
1.2000000000000002 1.2000000000000002 6.4 0.005108750846418389 2.7465356997214227E-4 6.777485811534851E-13 0.48675225595997157
1.2000000000000002 3.8 -4.0 0.05607687723151827 1.2542423359420818E-18 4.8582619182234314E-8 7.318024188804728E-4
1.2000000000000002 3.8 -1.4 0.1885960877558892 6.208075409403594E-10 5.4353584196157534E-5 7.318024188804728E-4
1.2000000000000002 3.8 1.2000000000000002 1.5301815892116188 3.562064783070342E-4 7.04927986621179E-5 7.318024188804728E-4
1.2000000000000002 3.8 3.8 4.977155265586825 0.23692775868212168 1.0598163633130508E-7 7.318024188804728E-4
1.2000000000000002 3.8 6.4 4.971945843841512 0.18268352405273452 1.847080360480173E-13 7.318024188804728E-4
1.2000000000000002 6.4 -4.0 1.2881278403918364 9.670855421101112E-19 1.5348551671425328E-11 1.2754076295260396E-9
1.2000000000000002 6.4 -1.4 2.498580908582361 4.786746389208764E-10 1.7171754211781134E-8 1.2754076295260396E-9
1.2000000000000002 6.4 1.2000000000000002 4.851707658506448 2.7465356997214227E-4 2.227056467808863E-8 1.2754076295260396E-9
1.2000000000000002 6.4 3.8 4.999596457247931 0.18268352405273452 3.3482439786780416E-11 1.2754076295260396E-9
1.2000000000000002 6.4 6.4 4.999475787552176 0.14085842092104486 5.835421974217454E-17 1.2754076295260396E-9
3.8 -4.0 -4.0 0.11814589859782343 6.639677199580735E-36 2.486860610310162E-12 3.3546262790251185E-4
3.8 -4.0 -1.4 0.11816457197697199 3.286415676451725E-27 2.7822663710158708E-9 3.3546262790251185E-4
3.8 -4.0 1.2000000000000002 0.1181700887677895 1.8856770853470695E-21 3.608404965688875E-9 3.3546262790251185E-4
3.8 -4.0 3.8 0.11814591342684355 1.2542423359420818E-18 5.42501744955155E-12 3.3546262790251185E-4
3.8 -4.0 6.4 0.11814588732224349 9.670855421101112E-19 9.45488627388653E-18 3.3546262790251185E-4
3.8 -1.4 -4.0 2.203034376078097E-4 3.286415676451725E-27 5.043476625678883E-7 0.37531109885139957
3.8 -1.4 -1.4 0.005405046549942568 1.6266646214532314E-18 5.642574155726743E-4 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.006864070750542262 9.333463883457657E-13 7.318024188804728E-4 0.37531109885139957
3.8 -1.4 3.8 2.2700953918110934E-4 6.208075409403594E-10 1.100220438060694E-6 0.37531109885139957
3.8 -1.4 6.4 2.1440721360819752E-4 4.786746389208764E-10 1.917497817252069E-12 0.37531109885139957
3.8 1.2000000000000002 -4.0 0.001167805668872799 1.8856770853470695E-21 1.1857083645433894E-4 0.48675225595997157
3.8 1.2000000000000002 -1.4 0.5878199905727955 9.333463883457657E-13 0.13265546508012174 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 0.7056697584570883 5.35534780279311E-7 0.1720448638230505 0.48675225595997157
3.8 1.2000000000000002 3.8 0.006619048840501731 3.562064783070342E-4 2.586589912220635E-4 0.48675225595997157
3.8 1.2000000000000002 6.4 0.005108750846418389 2.7465356997214227E-4 4.5079879806192804E-10 0.48675225595997157
3.8 3.8 -4.0 0.13704384069610503 1.2542423359420818E-18 3.231432266044366E-5 7.318024188804728E-4
3.8 3.8 -1.4 2.4569501355751564 6.208075409403594E-10 0.036152831754046426 7.318024188804728E-4
3.8 3.8 1.2000000000000002 2.4819165096787366 3.562064783070342E-4 0.046887695219988486 7.318024188804728E-4
3.8 3.8 3.8 4.977155265586825 0.23692775868212168 7.04927986621179E-5 7.318024188804728E-4
3.8 3.8 6.4 4.971945843841512 0.18268352405273452 1.2285700473339503E-10 7.318024188804728E-4
3.8 6.4 -4.0 2.497644044698082 9.670855421101112E-19 1.0208960723597606E-8 1.2754076295260396E-9
3.8 6.4 -1.4 2.499997366179424 4.786746389208764E-10 1.1421648638660496E-5 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 4.755368368994469 2.7465356997214227E-4 1.4813079758803949E-5 1.2754076295260396E-9
3.8 6.4 3.8 4.999595998084372 0.18268352405273452 2.227056467808863E-8 1.2754076295260396E-9
3.8 6.4 6.4 4.999475787552176 0.14085842092104486 3.88138210143395E-14 1.2754076295260396E-9
6.4 -4.0 -4.0 0.1181458958393851 6.639677199580735E-36 1.9174978172520745E-12 3.3546262790251185E-4
6.4 -4.0 -1.4 0.1181602941754421 3.286415676451725E-27 2.14527089749972E-9 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 0.11816457197697199 1.8856770853470695E-21 2.782266371015869E-9 3.3546262790251185E-4
6.4 -4.0 3.8 0.11814590706366652 1.2542423359420818E-18 4.18296830748874E-12 3.3546262790251185E-4
6.4 -4.0 6.4 0.11814588732224271 9.670855421101112E-19 7.290205055072577E-18 3.3546262790251185E-4
6.4 -1.4 -4.0 2.1898334133570592E-4 3.286415676451725E-27 3.888780650192921E-7 0.37531109885139957
6.4 -1.4 -1.4 0.004264566189502784 1.6266646214532314E-18 4.3507157507873234E-4 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.005405046549942563 9.333463883457657E-13 5.64257415572674E-4 0.37531109885139957
6.4 -1.4 3.8 2.2419211642465433E-4 6.208075409403594E-10 8.483267135001922E-7 0.37531109885139957
6.4 -1.4 6.4 2.1440721360819752E-4 4.786746389208764E-10 1.478489732767084E-12 0.37531109885139957
6.4 1.2000000000000002 -4.0 9.52749510665797E-4 1.8856770853470695E-21 9.142423147817332E-5 0.48675225595997157
6.4 1.2000000000000002 -1.4 0.4841087069628467 9.333463883457657E-13 0.10228420671553745 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 0.5878219094240962 5.35534780279311E-7 0.13265546508012166 0.48675225595997157
6.4 1.2000000000000002 3.8 0.006619048840501731 3.562064783070342E-4 1.9943942536412276E-4 0.48675225595997157
6.4 1.2000000000000002 6.4 0.005108750846418389 2.7465356997214227E-4 3.4758912812399117E-10 0.48675225595997157
6.4 3.8 -4.0 0.11924101816258234 1.2542423359420818E-18 2.491600973150319E-5 7.318024188804728E-4
6.4 3.8 -1.4 2.4459234017320988 6.208075409403594E-10 0.027875698255247015 7.318024188804728E-4
6.4 3.8 1.2000000000000002 2.4773357168198733 3.562064783070342E-4 0.036152831754046405 7.318024188804728E-4
6.4 3.8 3.8 4.977155265586825 0.23692775868212168 5.4353584196157506E-5 7.318024188804728E-4
6.4 3.8 6.4 4.971945843841512 0.18268352405273452 9.472908832676046E-11 7.318024188804728E-4
6.4 6.4 -4.0 2.496963696852765 9.670855421101112E-19 7.871635355336256E-9 1.2754076295260396E-9
6.4 6.4 -1.4 2.4999966195044543 4.786746389208764E-10 8.806680295330318E-6 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 4.776536274876287 2.7465356997214227E-4 1.142164863866049E-5 1.2754076295260396E-9
6.4 6.4 3.8 4.999596107814058 0.18268352405273452 1.7171754211781124E-8 1.2754076295260396E-9
6.4 6.4 6.4 4.999475787552176 0.14085842092104486 2.9927458244202245E-14 1.2754076295260396E-9

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Examples/jFuzzyLogic/QoS/LarsenQoSManyRules.fcl
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@ -1,83 +0,0 @@
FUNCTION_BLOCK LarsenQoSFewRules
VAR_INPUT
commitment : REAL;
clarity : REAL;
influence : REAL;
END_VAR
VAR_OUTPUT
service_quality : REAL;
END_VAR
FUZZIFY commitment
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for commitment
END_FUZZIFY
FUZZIFY clarity
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for clarity
END_FUZZIFY
FUZZIFY influence
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for influence
END_FUZZIFY
DEFUZZIFY service_quality
TERM inadequate := GAUSS 0 1;
TERM sufficient := GAUSS 2.5 1;
TERM excellent := GAUSS 5 1;
METHOD : COG;
DEFAULT := 0;
RANGE := (-4.0 .. 9.0); // Added range for service_quality
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : PROD;
RULE 1 : IF commitment IS fully AND influence IS high THEN service_quality IS excellent;
RULE 2 : IF commitment IS fully AND influence IS medium THEN service_quality IS excellent WITH 0.8;
RULE 3 : IF commitment IS fully AND influence IS low THEN service_quality IS excellent WITH 0.6;
RULE 4 : IF commitment IS largely AND influence IS high AND clarity IS NOT high THEN service_quality IS excellent;
RULE 5 : IF commitment IS largely AND influence IS medium AND clarity IS NOT high THEN service_quality IS excellent WITH 0.66;
RULE 6 : IF commitment IS largely AND influence IS low AND clarity IS NOT high THEN service_quality IS excellent WITH 0.33;
RULE 7 : IF commitment IS largely AND influence IS high AND clarity IS high THEN service_quality IS sufficient WITH 0.66;
RULE 8 : IF commitment IS largely AND influence IS medium AND clarity IS high THEN service_quality IS sufficient WITH 0.33;
RULE 9 : IF commitment IS largely AND influence IS low AND clarity IS high THEN service_quality IS sufficient WITH 0.1;
RULE 10 : IF commitment IS satISfactory AND influence IS high THEN service_quality IS sufficient;
RULE 11 : IF commitment IS satISfactory AND influence IS medium THEN service_quality IS sufficient WITH 0.66;
RULE 12 : IF commitment IS satISfactory AND influence IS low THEN service_quality IS sufficient WITH 0.33;
RULE 13 : IF commitment IS satISfactory AND influence IS high AND clarity IS high THEN service_quality IS sufficient;
RULE 14 : IF commitment IS satISfactory AND influence IS medium AND clarity IS high THEN service_quality IS sufficient WITH 0.66;
RULE 15 : IF commitment IS satISfactory AND influence IS low AND clarity IS high THEN service_quality IS sufficient WITH 0.33;
RULE 16 : IF commitment IS satISfactory AND influence IS high AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.5;
RULE 17 : IF commitment IS satISfactory AND influence IS medium AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.3;
RULE 18 : IF commitment IS satISfactory AND influence IS low AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.1;
RULE 19 : IF commitment IS partially AND influence IS high AND clarity IS high THEN service_quality IS sufficient;
RULE 20 : IF commitment IS partially AND influence IS medium AND clarity IS high THEN service_quality IS sufficient WITH 0.66;
RULE 21 : IF commitment IS partially AND influence IS low AND clarity IS high THEN service_quality IS sufficient WITH 0.33;
RULE 22 : IF commitment IS partially AND influence IS high AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.4;
RULE 23 : IF commitment IS partially AND influence IS medium AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.25;
RULE 24 : IF commitment IS partially AND influence IS low AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.1;
RULE 25 : IF commitment IS minimal AND influence IS high AND clarity IS high THEN service_quality IS inadequate WITH 0.5;
RULE 26 : IF commitment IS minimal AND influence IS medium AND clarity IS high THEN service_quality IS inadequate WITH 0.3;
RULE 27 : IF commitment IS minimal AND influence IS low AND clarity IS high THEN service_quality IS inadequate WITH 0.1;
RULE 28 : IF commitment IS minimal AND influence IS high AND clarity IS NOT high THEN service_quality IS inadequate WITH 0.4;
RULE 29 : IF commitment IS minimal AND influence IS medium AND clarity IS NOT high THEN service_quality IS inadequate WITH 0.2;
RULE 30 : IF commitment IS minimal AND influence IS low AND clarity IS NOT high THEN service_quality IS inadequate WITH 0.05;
RULE 31 : IF commitment IS nothing THEN service_quality IS inadequate;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/QoS/LarsenQoSManyRules.fld
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@ -1,126 +0,0 @@
clarity commitment influence service_quality No1.1 No1.2 No1.3 No1.4 No1.5 No1.6 No1.7 No1.8 No1.9 No1.10 No1.11 No1.12 No1.13 No1.14 No1.15 No1.16 No1.17 No1.18 No1.19 No1.20 No1.21 No1.22 No1.23 No1.24 No1.25 No1.26 No1.27 No1.28 No1.29 No1.30 No1.31
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3.8 -4.0 -1.4 0.11815196453926008 3.286415676451725E-27 1.026488137920661E-21 5.802513252660671E-19 8.289963890300767E-24 2.136180906140531E-18 8.050242738683686E-16 5.18892625191255E-24 1.0129522119452568E-18 2.313534391695759E-16 2.920345291727967E-20 7.525226809281491E-15 2.8358975732919886E-12 1.421484658930669E-20 3.662921126028225E-15 1.3803795414712844E-12 7.494303163986489E-21 1.7555934923878484E-15 4.4106607024869835E-13 9.454886273886531E-18 2.4363613394791054E-12 9.181479024352375E-10 3.9878184360188014E-18 9.7309860207409E-13 2.9337140624567847E-10 1.156767195847875E-15 2.7098089265953933E-10 6.807981343976337E-8 9.75786998628322E-16 1.904875017800966E-10 3.5892808132663314E-8 3.3546262790251185E-4
3.8 -4.0 1.2000000000000002 0.11815999963636283 1.8856770853470695E-21 8.85491981247484E-19 7.5254540156524905E-19 4.756609170989764E-18 1.8427597874761098E-15 1.0440602012761531E-15 2.977298155220469E-18 8.738153203420209E-16 3.000492359126224E-16 1.6756334986383216E-14 6.4915781785706195E-12 3.67796088550483E-12 8.15618385624303E-15 3.159790323159772E-12 1.7902557583520104E-12 4.300075565070094E-15 1.5144490251867489E-12 5.720318567129756E-13 5.42501744955155E-12 2.1017080956242625E-9 1.1907736386773288E-9 2.288127426851904E-12 8.3943591481263E-10 3.80482203327467E-10 6.637290011489407E-10 2.3375955226075254E-7 8.829475834462187E-8 5.598863213431508E-10 1.6432255680598873E-7 4.6550462762172937E-8 3.3546262790251185E-4
3.8 -4.0 3.8 0.1181700887677895 1.2542423359420818E-18 8.85491981247484E-19 1.1314062512082418E-21 3.1638187917459184E-15 1.8427597874761098E-15 1.5696810264266224E-18 1.9803249570233076E-15 8.738153203420209E-16 4.511057810940104E-19 1.1145336016681301E-11 6.4915781785706195E-12 5.529590545506461E-15 5.4250174495515465E-12 3.159790323159772E-12 2.6915406725602E-15 2.8601592835648775E-12 1.5144490251867489E-12 8.600151130140188E-16 3.608404965688875E-9 2.1017080956242625E-9 1.7902557583520114E-12 1.521928813309868E-9 8.3943591481263E-10 5.72031856712976E-13 4.414737917231093E-7 2.3375955226075254E-7 1.3274580022978815E-10 3.724037020973835E-7 1.6432255680598873E-7 6.998579016789385E-11 3.3546262790251185E-4
3.8 -4.0 6.4 0.11816457197697199 9.670855421101112E-19 1.0264881379206591E-21 1.971849405871035E-27 2.4394674965708124E-15 2.1361809061405274E-18 2.735688083799253E-24 1.5269326985192E-15 1.0129522119452551E-18 7.862009472594772E-25 8.593629009975718E-12 7.525226809281477E-15 9.637139462702292E-21 4.182968307488738E-12 3.662921126028218E-15 4.6908993744712085E-21 2.2053303512434904E-12 1.7555934923878452E-15 1.4988606327972979E-21 2.782266371015869E-9 2.436361339479102E-12 3.1201124703825552E-18 1.173485624982713E-9 9.730986020740883E-13 9.969546090047003E-19 3.4039906719881664E-7 2.7098089265953887E-10 2.31353439169575E-16 2.871424650613063E-7 1.9048750178009626E-10 1.2197337482854024E-16 3.3546262790251185E-4
3.8 -1.4 -4.0 2.164046348976332E-4 3.286415676451725E-27 6.827599963572116E-19 2.567109570286311E-13 6.157252814002589E-25 1.0553256849581265E-16 2.6452796298155085E-11 3.854001198198379E-25 5.004232009695965E-17 7.602187409607342E-12 1.6110272932682781E-22 2.7612289654375516E-14 6.9212972257169344E-9 7.841711694114211E-23 1.3440344281487465E-14 3.368957038787211E-9 4.1342806192842857E-23 6.441793351312751E-15 1.0764667233120378E-9 3.873997628687189E-21 6.639859243269895E-13 1.6643472864740315E-7 1.633948703057377E-21 2.652003068221429E-13 5.3180092512219895E-8 3.520329803231932E-20 5.485171232719416E-12 9.166087736247614E-7 2.969562125557771E-20 3.855831142565219E-12 4.83251366038757E-7 0.37531109885139957
3.8 -1.4 -1.4 0.002012301925863406 1.6266646214532314E-18 5.080769149993044E-13 2.87204783352526E-10 3.0476319199813464E-16 7.853222526126541E-11 2.9595034500349723E-8 1.9076002603895674E-16 3.7239070463889225E-11 8.505225539469527E-9 7.974040292384671E-14 2.0547728365038006E-8 7.743454713577994E-6 3.88138210143395E-14 1.0001653136534946E-8 3.769144050757964E-6 2.0463290954753607E-14 4.793670558410481E-9 1.2043365644909184E-6 1.9174978172520684E-12 4.94106160048835E-7 1.8620494713898254E-4 8.087493519390986E-13 1.9734922149212726E-7 5.9497175833191773E-5 1.7424442038164422E-11 4.081798718484009E-6 0.0010254896296404022 1.4698328289584038E-11 2.8693227519554687E-6 5.406551613318706E-4 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.004186317640735878 9.333463883457657E-13 4.3828858558482145E-10 3.7248452456421565E-10 1.7486679233120852E-10 6.774521123959297E-8 3.838269065941506E-8 1.0945414254177502E-10 3.212399351411952E-8 1.1030682896016145E-8 4.5753387694457995E-8 1.7725337515297175E-5 1.0042719392773184E-5 2.227056467808863E-8 8.627848023222818E-6 4.888316320405303E-6 1.1741411508184684E-8 4.135222496397436E-6 1.561940324959964E-6 1.1002204380606938E-6 4.262368228575153E-4 2.4149479823055604E-4 4.6404358756814503E-7 1.7024176576526518E-4 7.716367740971005E-5 9.997783089873683E-6 0.0035211318092827396 0.001329988354244377 8.433595618221345E-6 0.002475198879174882 7.011919452424396E-4 0.37531109885139957
3.8 -1.4 3.8 0.0068645332980936955 6.208075409403594E-10 4.3828858558482145E-10 5.600078330074594E-13 1.1631118381640927E-7 6.774521123959297E-8 5.770604146929881E-11 7.280250711370656E-8 3.212399351411952E-8 1.6583960991178033E-11 3.0432483008403587E-5 1.7725337515297175E-5 1.509861793917114E-8 1.4813079758803949E-5 8.627848023222818E-6 7.3492863437692484E-9 7.80970162479982E-6 4.135222496397436E-6 2.348282301636937E-9 7.318024188804728E-4 4.262368228575153E-4 3.63072744560029E-7 3.086547096388402E-4 1.7024176576526518E-4 1.1601089689203626E-7 0.0066499417712218845 0.0035211318092827396 1.9995566179747367E-6 0.005609535561939517 0.002475198879174882 1.0541994522776681E-6 0.37531109885139957
3.8 -1.4 6.4 0.0054053806631733465 4.786746389208764E-10 5.080769149993035E-13 9.759987728719389E-19 8.968192272833243E-8 7.853222526126527E-11 1.0057185335938444E-16 5.613448856049884E-8 3.7239070463889154E-11 2.890303424832678E-17 2.3465014283569664E-5 2.054772836503797E-8 2.6314332964869414E-14 1.142164863866049E-5 1.0001653136534931E-8 1.2808560934732036E-14 6.021682822454587E-6 4.793670558410473E-9 4.092658190950722E-15 5.64257415572674E-4 4.941061600488342E-7 6.327742796931826E-13 2.3798870333276696E-4 1.9734922149212692E-7 2.0218733798477464E-13 0.005127448148202008 4.0817987184840025E-6 3.4848884076328846E-12 0.0043252412906549615 2.869322751955464E-6 1.8372910361980047E-12 0.37531109885139957
3.8 1.2000000000000002 -4.0 5.356698507845659E-4 1.8856770853470695E-21 3.917535110203989E-13 1.4729541752583488E-7 2.6240140916146534E-20 4.4974431816010965E-12 1.127329222069875E-6 1.642445707308593E-20 2.132635398905322E-12 3.2397966256216773E-7 5.099368797562266E-19 8.740090803000822E-11 2.190791382551568E-5 2.4821292661853207E-19 4.25425891565565E-11 1.0663726477946408E-5 1.308619765688473E-19 2.039014494247806E-11 3.407329499263416E-6 9.107668645013996E-19 1.5610138062404734E-10 3.912837602993185E-5 3.8413713163371116E-19 6.234790907475677E-11 1.2502502777127999E-5 6.14703336847797E-19 9.577946523188376E-11 1.6005388790954323E-5 5.185308904527474E-19 6.732869935880658E-11 8.438306745224832E-6 0.48675225595997157
3.8 1.2000000000000002 -1.4 0.25466969868358624 9.333463883457657E-13 2.9152398556059304E-7 1.6479214198328546E-4 1.2987982377301673E-11 3.3467793504073916E-6 0.0012612408474463339 8.129550816959362E-12 1.5870039546476752E-6 3.6246411089657584E-4 2.524015106845201E-10 6.503952187730642E-5 0.02451028081073019 1.2285700473339503E-10 3.165813400033683E-5 0.01193043447883532 6.477225297556255E-11 1.5173358125895274E-5 0.0038120746460287487 4.50798798061928E-10 1.1616308559047941E-4 0.04377630347644017 1.901348895979378E-10 4.639629367328408E-5 0.013987632795389095 3.0425736400428474E-10 7.127443827250621E-5 0.01790661479114932 2.566552553512673E-10 5.010275652301224E-5 0.009440664662997457 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 0.5013032340027925 5.35534780279311E-7 2.5148089102921975E-4 2.137238869842205E-4 7.452234642518471E-6 0.002887073087657509 0.001635741201584985 4.66456747986791E-6 0.0013690165761634735 4.7009061075832786E-4 1.4482274668268805E-4 0.05610583596532173 0.031788120616062704 7.04927986621179E-5 0.027309642228640463 0.015472939422596201 3.7164974010285084E-5 0.01308917897121876 0.0049439943010504556 2.5865899122206357E-4 0.10020717922342423 0.05677480506160667 1.0909545223047591E-4 0.040023400650804064 0.01814098181357297 1.745765587299132E-4 0.06148433793503919 0.023223627472975874 1.4726345705979498E-4 0.043220751902104795 0.01224388203956378 0.48675225595997157
3.8 1.2000000000000002 3.8 0.7426615716206166 3.562064783070342E-4 2.5148089102921975E-4 3.213208681675866E-7 0.0049567915199545 0.002887073087657509 2.4592374320310954E-6 0.003102598031004964 0.0013690165761634735 7.06752648464835E-7 0.09632763823049303 0.05610583596532173 4.779150640528706E-5 0.046887695219988486 0.027309642228640463 2.3262623558498908E-5 0.024719971505252274 0.01308917897121876 7.432994802057017E-6 0.1720448638230505 0.10020717922342423 8.535746710328098E-5 0.07256392725429188 0.040023400650804064 2.7273863057618978E-5 0.11611813736487936 0.06148433793503919 3.4915311745982646E-5 0.09795105631651024 0.043220751902104795 1.8407932132474372E-5 0.48675225595997157
3.8 1.2000000000000002 6.4 0.6185227301911822 2.7465356997214227E-4 2.915239855605925E-7 5.600078330074594E-13 0.0038219419619585854 3.3467793504073853E-6 4.286034184509552E-12 0.002392263131917399 1.5870039546476725E-6 1.2317501237817214E-12 0.07427357821433386 6.503952187730632E-5 8.329249852589164E-11 0.036152831754046405 3.1658134000336774E-5 4.054281156202036E-11 0.019060373230143732 1.5173358125895245E-5 1.2954450595112511E-11 0.13265546508012166 1.161630855904792E-4 1.4876360336043625E-10 0.05595053118155635 4.6396293673284E-5 4.753372239948445E-11 0.08953307395574654 7.127443827250609E-5 6.085147280085695E-11 0.07552531730397961 5.010275652301215E-5 3.208190691890841E-11 0.48675225595997157
3.8 3.8 -4.0 0.5229129880476612 1.2542423359420818E-18 2.605715700709704E-10 9.797231455308489E-5 1.2963272261318683E-18 2.2218470788406172E-10 5.569282451848389E-5 8.114084046390922E-19 1.0535741175507215E-10 1.6005388790954323E-5 1.8711096935856773E-18 3.2069986058140523E-10 8.038663519445424E-5 9.107668645013996E-19 1.5610138062404734E-10 3.912837602993185E-5 4.801714145421389E-19 7.481749088970812E-11 1.2502502777127999E-5 2.4821292661853207E-19 4.25425891565565E-11 1.0663726477946408E-5 1.0468958125507784E-19 1.699178745206505E-11 3.407329499263416E-6 1.2442770509913582E-20 1.9387594535502925E-12 3.2397966256216773E-7 1.0496056366458614E-20 1.3628615701821503E-12 1.7080745788937503E-7 7.318024188804728E-4
3.8 3.8 -1.4 3.8708485141247406 6.208075409403594E-10 1.9390473982737369E-4 0.10961011443164077 6.416381383781682E-10 1.653390965259404E-4 0.062308386775783216 4.016197204856559E-10 7.840188209975684E-5 0.01790661479114932 9.261360220567725E-10 2.386493008879494E-4 0.08993549170122418 4.50798798061928E-10 1.1616308559047941E-4 0.04377630347644017 2.3766861199742226E-10 5.5675552407940894E-5 0.013987632795389095 1.2285700473339503E-10 3.165813400033683E-5 0.01193043447883532 5.1817802380450045E-11 1.2644465104912728E-5 0.0038120746460287487 6.158750618908607E-12 1.4427308678615227E-6 3.6246411089657584E-4 5.195192950920669E-12 1.0141755607295127E-6 1.910970980979294E-4 7.318024188804728E-4
3.8 3.8 1.2000000000000002 3.6034684977610336 3.562064783070342E-4 0.16727041053862637 0.142156655209273 3.681586426494874E-4 0.14262848127694583 0.08080962146112095 2.3044105752348544E-4 0.06763277172854311 0.023223627472975874 5.313976217982533E-4 0.20586895694154697 0.11664004504639745 2.5865899122206357E-4 0.10020717922342423 0.05677480506160667 1.3636931528809488E-4 0.04802808078096488 0.01814098181357297 7.04927986621179E-5 0.027309642228640463 0.015472939422596201 2.973197920822807E-5 0.0109076491426823 0.0049439943010504556 3.5337632423241746E-6 0.0012445605237849757 4.7009061075832786E-4 2.9808938570073884E-6 8.748706326234875E-4 2.47839575997725E-4 7.318024188804728E-4
3.8 3.8 3.8 3.521900629791554 0.23692775868212168 0.16727041053862637 2.137238869842205E-4 0.24487764079127558 0.14262848127694583 1.2149235207433084E-4 0.15327594132164077 0.06763277172854311 3.4915311745982646E-5 0.35345468195878016 0.20586895694154697 1.753612151934236E-4 0.1720448638230505 0.10020717922342423 8.535746710328098E-5 0.09070490906786484 0.04802808078096488 2.7273863057618978E-5 0.046887695219988486 0.027309642228640463 2.3262623558498908E-5 0.019775977204201822 0.0109076491426823 7.432994802057017E-6 0.0023504530537916393 0.0012445605237849757 7.06752648464835E-7 0.0019827166079818 8.748706326234875E-4 3.7261173212592355E-7 7.318024188804728E-4
3.8 3.8 6.4 3.511344850379243 0.18268352405273452 1.9390473982737336E-4 3.7248452456421565E-10 0.18881329325994903 1.653390965259401E-4 2.1174058566479553E-10 0.11818365762158545 7.84018820997567E-5 6.085147280085695E-11 0.27253179303401254 2.3864930088794895E-4 3.0562488727873496E-10 0.13265546508012166 1.161630855904792E-4 1.4876360336043625E-10 0.06993816397694544 5.56755524079408E-5 4.753372239948445E-11 0.036152831754046405 3.1658134000336774E-5 4.054281156202036E-11 0.015248298584114986 1.2644465104912705E-5 1.2954450595112511E-11 0.0018123205544828779 1.4427308678615202E-6 1.2317501237817214E-12 0.0015287767847834343 1.0141755607295108E-6 6.493991188650837E-13 7.318024188804728E-4
3.8 6.4 -4.0 4.683673728542989 9.670855421101112E-19 2.0091412231854673E-10 7.554170850100189E-5 7.42390531389442E-20 1.2724242770465213E-11 3.1894590158557936E-6 4.646835340266146E-20 6.033688355991353E-12 9.166087736247606E-7 7.958869386330616E-21 1.3641147343374442E-12 3.4192903393772813E-7 3.8739976286871815E-21 6.639859243269883E-13 1.6643472864740286E-7 2.0424358788217172E-21 3.182403681865709E-13 5.318009251221979E-8 7.841711694114211E-23 1.3440344281487465E-14 3.368957038787211E-9 3.3074244954274285E-23 5.368161126093959E-15 1.0764667233120378E-9 2.9196978774230145E-25 4.549301826996331E-17 7.602187409607342E-12 2.462901125601036E-25 3.197956621085232E-17 4.007999439114407E-12 1.2754076295260396E-9
3.8 6.4 -1.4 4.969119223401883 4.786746389208764E-10 1.495105571387244E-4 0.08451505255262697 3.674582072396006E-11 9.468765081453039E-6 0.003568324064790343 2.3000263490377015E-11 4.489978590332408E-6 0.0010254896296404013 3.939371197099807E-12 1.0151081047880492E-6 3.8254562738851465E-4 1.917497817252065E-12 4.941061600488342E-7 1.8620494713898221E-4 1.0109366899238713E-12 2.3681906579055228E-7 5.9497175833191665E-5 3.88138210143395E-14 1.0001653136534946E-8 3.769144050757964E-6 1.6370632763802887E-14 3.994725465342068E-9 1.2043365644909184E-6 1.445151712416339E-16 3.3853700421717474E-11 8.505225539469527E-9 1.2190527679925385E-16 2.3797644018565275E-11 4.484096136416625E-9 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 4.925863475771374 2.7465356997214227E-4 0.12897411530382139 0.10961011443164072 2.1083989045553344E-5 0.008168156301277103 0.004627866838600098 1.3197073678633252E-5 0.0038732449902110105 0.0013299883542443759 2.2603294069810525E-6 8.756750844778135E-4 4.961349336825982E-4 1.1002204380606921E-6 4.262368228575144E-4 2.414947982305556E-4 5.800544844601803E-7 2.0429011891831778E-4 7.716367740970992E-5 2.227056467808863E-8 8.627848023222818E-6 4.888316320405303E-6 9.393129206547748E-9 3.4460187469978634E-6 1.561940324959964E-6 8.291980495589016E-11 2.920363046738138E-8 1.1030682896016145E-8 6.994671693248341E-11 2.052885189078575E-8 5.815559190820464E-9 1.2754076295260396E-9
3.8 6.4 3.8 4.881436296612853 0.18268352405273452 0.12897411530382139 1.6479214198328535E-4 0.01402383890484878 0.008168156301277103 6.957716385032604E-6 0.00877792313801288 0.0038732449902110105 1.999556617974735E-6 0.0015034391929775704 8.756750844778135E-4 7.459087043037473E-7 7.318024188804715E-4 4.262368228575144E-4 3.630727445600284E-7 3.858183870485495E-4 2.0429011891831778E-4 1.1601089689203607E-7 1.4813079758803949E-5 8.627848023222818E-6 7.3492863437692484E-9 6.247761299839856E-6 3.4460187469978634E-6 2.348282301636937E-9 5.515341448008072E-8 2.920363046738138E-8 1.6583960991178033E-11 4.652447352656371E-8 2.052885189078575E-8 8.743339616560426E-12 1.2754076295260396E-9
3.8 6.4 6.4 4.884879261681911 0.14085842092104486 1.4951055713872412E-4 2.872047833525258E-10 0.010813103226637396 9.468765081453023E-6 1.212612083890682E-11 0.006768231555626646 4.489978590332399E-6 3.4848884076328814E-12 0.0011592291739045892 1.0151081047880475E-6 1.2999924950429364E-12 5.64257415572673E-4 4.941061600488333E-7 6.327742796931816E-13 2.9748587916595814E-4 2.3681906579055189E-7 2.0218733798477426E-13 1.142164863866049E-5 1.0001653136534931E-8 1.2808560934732036E-14 4.81734625796367E-6 3.994725465342061E-9 4.092658190950722E-15 4.2526127697347605E-8 3.3853700421717415E-11 2.890303424832678E-17 3.587276909133297E-8 2.3797644018565233E-11 1.523815959990673E-17 1.2754076295260396E-9
6.4 -4.0 -4.0 0.11814588988316833 6.639677199580735E-36 1.3794073625809013E-27 5.186434267821657E-22 2.0385147204726077E-32 3.493923359436503E-24 8.757869179712679E-19 8.083238727575837E-33 1.049569003804626E-24 1.5944545038635047E-19 5.900090541597062E-29 1.0112492178274336E-20 2.5347975461166915E-15 2.2143694644895412E-29 3.795330551554322E-21 9.513376523988862E-16 1.8428605385537604E-29 2.8714371030545516E-21 4.79836331429638E-16 1.4728693217741423E-26 2.5244323610040006E-18 6.327742796931846E-13 9.806106144693283E-27 1.5915936365915635E-18 3.191591210811251E-13 1.801996201588033E-24 2.807764692201803E-16 4.69196246015835E-11 2.399475060533044E-24 3.1156009785362165E-16 3.904783101854538E-11 3.3546262790251185E-4
6.4 -4.0 -1.4 0.11815051973076414 3.286415676451725E-27 1.026488137920661E-21 5.802513252660671E-19 1.0089958491448682E-23 2.6000085113038037E-18 9.798186838236948E-16 4.000929815154926E-24 7.810384093636201E-19 1.7838543615281037E-16 2.920345291727967E-20 7.525226809281491E-15 2.8358975732919886E-12 1.0960380004639336E-20 2.8243011428974462E-15 1.0643438344622332E-12 9.121536456320166E-21 2.1367843938109294E-15 5.368344663120472E-13 7.290205055072579E-18 1.8785602743958647E-12 7.079393961749077E-10 4.853690923544382E-18 1.1843868843025903E-12 3.570709535972935E-10 8.919271807640483E-16 2.089402470076037E-10 5.249304811394048E-8 1.187659010695383E-15 2.3184793221472032E-10 4.3686190795574755E-8 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 0.11815674880151704 1.8856770853470695E-21 8.85491981247484E-19 7.5254540156524905E-19 5.7894087031529375E-18 2.242877051261819E-15 1.2707563305282067E-15 2.295650463992774E-18 6.737566884491663E-16 2.313534391695758E-16 1.6756334986383216E-14 6.4915781785706195E-12 3.67796088550483E-12 6.288838496461632E-15 2.4363613394791046E-12 1.3803795414712834E-12 5.233748244960792E-15 1.843280381405234E-12 6.962367709192564E-13 4.18296830748874E-12 1.6205253600272804E-9 9.181479024352368E-10 2.7849470836770274E-12 1.0217021025387595E-9 4.6309606279476743E-10 5.117692988797076E-10 1.802406734673848E-7 6.807981343976333E-8 6.814540831585373E-10 2.0000180933490054E-7 5.665793521460219E-8 3.3546262790251185E-4
6.4 -4.0 3.8 0.11816457197697199 1.2542423359420818E-18 8.85491981247484E-19 1.1314062512082418E-21 3.850776759176384E-15 2.242877051261819E-15 1.9105048720404694E-18 1.5269326985192003E-15 6.737566884491663E-16 3.4782582787769304E-19 1.1145336016681301E-11 6.4915781785706195E-12 5.529590545506461E-15 4.182968307488737E-12 2.4363613394791046E-12 2.075316703832339E-15 3.481183854596282E-12 1.843280381405234E-12 1.0467496489921584E-15 2.782266371015869E-9 1.6205253600272804E-9 1.3803795414712842E-12 1.8523842511790697E-9 1.0217021025387595E-9 6.962367709192568E-13 3.4039906719881664E-7 1.802406734673848E-7 1.0235385977594153E-10 4.532634817168175E-7 2.0000180933490054E-7 8.518176039481716E-11 3.3546262790251185E-4
6.4 -4.0 6.4 0.1181602941754421 9.670855421101112E-19 1.0264881379206591E-21 1.971849405871035E-27 2.9691475267384674E-15 2.6000085113037995E-18 3.329686302178065E-24 1.1773438786085476E-15 7.810384093636188E-19 6.062014871446857E-25 8.593629009975718E-12 7.525226809281477E-15 9.637139462702292E-21 3.22528434685525E-12 2.824301142897441E-15 3.616925401530981E-21 2.684172331560234E-12 2.1367843938109255E-15 1.824307291264033E-21 2.1452708974997186E-9 1.8785602743958615E-12 2.405767668173951E-18 1.4282838143891731E-9 1.1843868843025883E-12 1.2134227308860955E-18 2.624652405697022E-7 2.0894024700760334E-10 1.7838543615280966E-16 3.4948952636459783E-7 2.318479322147199E-10 1.4845737633692289E-16 3.3546262790251185E-4
6.4 -1.4 -4.0 2.1595567103765393E-4 3.286415676451725E-27 6.827599963572116E-19 2.567109570286311E-13 7.494173211939976E-25 1.2844678815363115E-16 3.219647517927228E-11 2.971633735559704E-25 3.8585210268050395E-17 5.8616786577536455E-12 1.6110272932682781E-22 2.7612289654375516E-14 6.9212972257169344E-9 6.04636423716113E-23 1.0363198771986802E-14 2.5976396672609644E-9 5.0319543477608255E-23 7.840495855631233E-15 1.3101992601381728E-9 2.9870520149985116E-21 5.119673999035719E-13 1.2832976145636641E-7 1.988726948532848E-21 3.227830812249526E-13 6.47270522670795E-8 2.714355877333537E-20 4.2293499773924074E-12 7.067526484648342E-7 3.614341266276486E-20 4.6930453127832256E-12 5.881794286187207E-7 0.37531109885139957
6.4 -1.4 -1.4 0.0016153813924435114 1.6266646214532314E-18 5.080769149993044E-13 2.87204783352526E-10 3.70936230564331E-16 9.55838775189788E-11 3.602098556917676E-8 1.4708582058526717E-16 2.8713244335032526E-11 6.557967639824969E-9 7.974040292384671E-14 2.0547728365038006E-8 7.743454713577994E-6 2.9927458244202245E-14 7.711790511582482E-9 2.906204497459005E-6 2.490647233982223E-14 5.834517206116147E-9 1.465833398823936E-6 1.478489732767084E-12 3.809813382609649E-7 1.4357361977598168E-4 9.843525857330924E-13 2.4019953277541143E-7 7.241575988258598E-5 1.3435143665268997E-11 3.147277374818059E-6 7.907054051593438E-4 1.7889766987900377E-11 3.4923369810661022E-6 6.580472735723998E-4 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.003312495632295527 9.333463883457657E-13 4.3828858558482145E-10 3.7248452456421565E-10 2.1283550803146582E-10 8.245468598502135E-8 4.6716699936018914E-8 8.439479017960519E-11 2.4769256141405325E-8 8.505225539469522E-9 4.5753387694457995E-8 1.7725337515297175E-5 1.0042719392773184E-5 1.7171754211781124E-8 6.652515900378115E-6 3.769144050757962E-6 1.4290816741338435E-8 5.033100734054117E-6 1.9010834369743098E-6 8.483267135001921E-7 3.286505781921608E-4 1.8620494713898243E-4 5.648010773923457E-7 2.0720625238092972E-4 9.391817774048993E-5 7.708806505967179E-6 0.002714974265370836 0.0010254896296404018 1.0264776885346548E-5 0.003012637241782817 8.534413075444272E-4 0.37531109885139957
6.4 -1.4 3.8 0.005405636868369749 6.208075409403594E-10 4.3828858558482145E-10 5.600078330074594E-13 1.415657573818755E-7 8.245468598502135E-8 7.023571765038373E-11 5.613448856049884E-8 2.4769256141405325E-8 1.2787089421152303E-11 3.0432483008403587E-5 1.7725337515297175E-5 1.509861793917114E-8 1.142164863866049E-5 6.652515900378115E-6 5.666678889887771E-9 9.505417184871548E-6 5.033100734054117E-6 2.858163348267687E-9 5.64257415572674E-4 3.286505781921608E-4 2.799478154550634E-7 3.7567271096195973E-4 2.0720625238092972E-4 1.4120026934808643E-7 0.0051274481482020086 0.002714974265370836 1.5417613011934358E-6 0.006827530460355418 0.003012637241782817 1.2830971106683185E-6 0.37531109885139957
6.4 -1.4 6.4 0.004264993880885309 4.786746389208764E-10 5.080769149993035E-13 9.759987728719389E-19 1.0915450172477799E-7 9.558387751897864E-11 1.2240895608622924E-16 4.3282586422844775E-8 2.8713244335032474E-11 2.2285730391707147E-17 2.3465014283569664E-5 2.054772836503797E-8 2.6314332964869414E-14 8.806680295330312E-6 7.711790511582468E-9 9.876061220586741E-15 7.329166994119676E-6 5.834517206116137E-9 4.981294467964446E-15 4.350715750787321E-4 3.809813382609642E-7 4.879016118131377E-13 2.896630395303437E-4 2.40199532775411E-7 2.460881464332731E-13 0.003953527025796716 3.147277374818054E-6 2.6870287330537994E-12 0.005264378188579195 3.4923369810660963E-6 2.236220873487547E-12 0.37531109885139957
6.4 1.2000000000000002 -4.0 4.6297350997180175E-4 1.8856770853470695E-21 3.917535110203989E-13 1.4729541752583488E-7 3.193764606905627E-20 5.473970166878201E-12 1.3721055009890384E-6 1.2664103672165502E-20 1.644371906266769E-12 2.498050325866636E-7 5.099368797562266E-19 8.740090803000822E-11 2.190791382551568E-5 1.913849706861633E-19 3.2802530833352484E-11 8.222283211396053E-6 1.5927595453503165E-19 2.4817444180298066E-11 4.1471607921574625E-6 7.022482351711457E-19 1.2036221707629776E-10 3.0169996387797192E-5 4.675445833658126E-19 7.588547102466191E-11 1.5217163274744562E-5 4.739679826752375E-19 7.38509085544615E-11 1.2340980408667952E-5 6.311191737907949E-19 8.194773714375475E-11 1.0270510936368018E-5 0.48675225595997157
6.4 1.2000000000000002 -1.4 0.20886401716115185 9.333463883457657E-13 2.9152398556059304E-7 1.6479214198328546E-4 1.5808054752562536E-11 4.0734634278875E-6 0.0015350932726428755 6.2683030492871925E-12 1.2236619159076206E-6 2.794785275036844E-4 2.524015106845201E-10 6.503952187730642E-5 0.02451028081073019 9.472908832676046E-11 2.44100544245415E-5 0.009198980424231515 7.883621117887982E-11 1.846793975125678E-5 0.004639787995908689 3.475891281239911E-10 8.956773135637453E-5 0.03375378821612735 2.3141875757311254E-10 5.64702914892329E-5 0.017024758631847523 2.3459812300791656E-10 5.49562686572743E-5 0.013806923731089275 3.123826481483618E-10 6.098153626650018E-5 0.01149051019302748 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 0.41971686109965206 5.35534780279311E-7 2.5148089102921975E-4 2.137238869842205E-4 9.070333623470007E-6 0.003513941435900026 0.0019909086511287677 3.596622152439896E-6 0.0010555824020422146 3.624641108965756E-4 1.4482274668268805E-4 0.05610583596532173 0.031788120616062704 5.4353584196157506E-5 0.02105714294812126 0.011930434478835314 4.523458124326528E-5 0.015931224098727485 0.006017480647644663 1.9943942536412276E-4 0.0772649044491234 0.04377630347644015 1.3278327857365222E-4 0.04871365624713013 0.02207992168786585 1.3460753245282897E-4 0.04740759626689432 0.01790661479114931 1.7923867808146237E-4 0.05260524634753471 0.014902388380477059 0.48675225595997157
6.4 1.2000000000000002 3.8 0.6354184334749563 3.562064783070342E-4 2.5148089102921975E-4 3.213208681675866E-7 0.006033056518572022 0.003513941435900026 2.9932100957451026E-6 0.0023922631319173993 0.0010555824020422146 5.449427503696812E-7 0.09632763823049303 0.05610583596532173 4.779150640528706E-5 0.036152831754046405 0.02105714294812126 1.7936682784731978E-5 0.030087403238223315 0.015931224098727485 9.046916248653056E-6 0.13265546508012166 0.0772649044491234 6.581501037016052E-5 0.0883196867514634 0.04871365624713013 3.3195819643413054E-5 0.08953307395574654 0.04740759626689432 2.6921506490565795E-5 0.11921910704381647 0.05260524634753471 2.2404834760182796E-5 0.48675225595997157
6.4 1.2000000000000002 6.4 0.5232009732919237 2.7465356997214227E-4 2.915239855605925E-7 5.600078330074594E-13 0.004651797795887498 4.073463427887494E-6 5.216658068345637E-12 0.0018445582815243158 1.2236619159076185E-6 9.497428862556352E-13 0.07427357821433386 6.503952187730632E-5 8.329249852589164E-11 0.027875698255246998 2.441005442454146E-5 3.1260599147830954E-11 0.023198939979543434 1.846793975125675E-5 1.5767242235775964E-11 0.10228420671553738 8.956773135637437E-5 1.1470441228091708E-10 0.06809903452739006 5.6470291489232795E-5 5.7854689393278135E-11 0.06903461865544633 5.49562686572742E-5 4.6919624601583315E-11 0.09192408154421979 6.098153626650007E-5 3.9047831018545226E-11 0.48675225595997157
6.4 3.8 -4.0 0.5229129880476612 1.2542423359420818E-18 2.605715700709704E-10 9.797231455308489E-5 1.5777979344769873E-18 2.7042753257439066E-10 6.778537218002892E-5 6.256377371313136E-19 8.123599940990764E-11 1.2340980408667952E-5 1.8711096935856773E-18 3.2069986058140523E-10 8.038663519445424E-5 7.022482351711457E-19 1.2036221707629776E-10 3.0169996387797192E-5 5.844307292072658E-19 9.106256522959429E-11 1.5217163274744562E-5 1.913849706861633E-19 3.2802530833352484E-11 8.222283211396053E-6 1.2742076362802533E-19 2.0681203483581722E-11 4.1471607921574625E-6 9.594017933458713E-21 1.494883551151608E-12 2.498050325866636E-7 1.2775058427622509E-20 1.6587788384479398E-12 2.07894772877127E-7 7.318024188804728E-4
6.4 3.8 -1.4 3.8708485141247406 6.208075409403594E-10 1.9390473982737369E-4 0.10961011443164077 7.809566203709045E-10 2.0123906967945058E-4 0.07583736727398137 3.096695223704499E-10 6.0451895523001736E-5 0.013806923731089275 9.261360220567725E-10 2.386493008879494E-4 0.08993549170122418 3.475891281239911E-10 8.956773135637453E-5 0.03375378821612735 2.892734469663907E-10 6.776434978707948E-5 0.017024758631847523 9.472908832676046E-11 2.44100544245415E-5 0.009198980424231515 6.306896894310386E-11 1.5389949792713985E-5 0.004639787995908689 4.748714431278176E-12 1.1124199235523823E-6 2.794785275036844E-4 6.323221901025015E-12 1.2343828569356062E-6 2.3258988979437507E-4 7.318024188804728E-4
6.4 3.8 1.2000000000000002 3.6290855123861623 3.562064783070342E-4 0.16727041053862637 0.142156655209273 4.4809669520365586E-4 0.17359731294686453 0.09835576331114859 1.7768194283773425E-4 0.052148355893583756 0.01790661479114931 5.313976217982533E-4 0.20586895694154697 0.11664004504639745 1.9943942536412276E-4 0.0772649044491234 0.04377630347644015 1.6597909821706525E-4 0.058456387496556156 0.02207992168786585 5.4353584196157506E-5 0.02105714294812126 0.011930434478835314 3.6187664994612223E-5 0.013276020082272905 0.006017480647644663 2.724713751848406E-6 9.596203654929223E-4 3.624641108965756E-4 3.628133449388003E-6 0.001064830738151523 3.0165282592860114E-4 7.318024188804728E-4
6.4 3.8 3.8 3.635762453547546 0.23692775868212168 0.16727041053862637 2.137238869842205E-4 0.29804776760954116 0.17359731294686453 1.4787190941720644E-4 0.11818365762158545 0.052148355893583756 2.6921506490565795E-5 0.35345468195878016 0.20586895694154697 1.753612151934236E-4 0.13265546508012166 0.0772649044491234 6.581501037016052E-5 0.11039960843932925 0.058456387496556156 3.3195819643413054E-5 0.036152831754046405 0.02105714294812126 1.7936682784731978E-5 0.024069922590578652 0.013276020082272905 9.046916248653056E-6 0.001812320554482878 9.596203654929223E-4 5.449427503696812E-7 0.002413222607428809 0.001064830738151523 4.535166811735004E-7 7.318024188804728E-4
6.4 3.8 6.4 3.6301789409912497 0.18268352405273452 1.9390473982737336E-4 3.7248452456421565E-10 0.22981020386054946 2.0123906967945023E-4 2.5771568472239847E-10 0.09112569662518916 6.045189552300163E-5 4.6919624601583315E-11 0.27253179303401254 2.3864930088794895E-4 3.0562488727873496E-10 0.10228420671553738 8.956773135637437E-5 1.1470441228091708E-10 0.08512379315923757 6.776434978707936E-5 5.7854689393278135E-11 0.027875698255246998 2.441005442454146E-5 3.1260599147830954E-11 0.01855915198363475 1.5389949792713958E-5 1.5767242235775964E-11 0.001397392637518421 1.1124199235523804E-6 9.497428862556352E-13 0.0018607191183549995 1.234382856935604E-6 7.904027376281269E-13 7.318024188804728E-4
6.4 6.4 -4.0 4.688709643938755 9.670855421101112E-19 2.0091412231854673E-10 7.554170850100189E-5 9.035853165691208E-20 1.548704953218463E-11 3.881984228883553E-6 3.582949758080266E-20 4.652284975131645E-12 7.067526484648335E-7 7.958869386330616E-21 1.3641147343374442E-12 3.4192903393772813E-7 2.987052014998506E-21 5.119673999035709E-13 1.2832976145636618E-7 2.4859086856660552E-21 3.8733969746994236E-13 6.472705226707939E-8 6.04636423716113E-23 1.0363198771986802E-14 2.5976396672609644E-9 4.025563478208661E-23 6.533746546359361E-15 1.3101992601381728E-9 2.251237678454321E-25 3.507746388004581E-17 5.8616786577536455E-12 2.9976692847759905E-25 3.892326913746398E-17 4.878253815041255E-12 1.2754076295260396E-9
6.4 6.4 -1.4 4.975688524460382 4.786746389208764E-10 1.495105571387244E-4 0.08451505255262697 4.472441746975089E-11 1.1524712037518126E-5 0.004343112005577836 1.773438963815506E-11 3.4620051122998623E-6 7.907054051593432E-4 3.939371197099807E-12 1.0151081047880492E-6 3.8254562738851465E-4 1.478489732767081E-12 3.809813382609642E-7 1.435736197759814E-4 1.230440732166363E-12 2.882394393304932E-7 7.241575988258583E-5 2.9927458244202245E-14 7.711790511582482E-9 2.906204497459005E-6 1.9925177871857785E-14 4.862097671763456E-9 1.465833398823936E-6 1.1142865195853572E-16 2.6102949395484113E-11 6.557967639824969E-9 1.483744922257324E-16 2.8964811369387517E-11 5.4577250862389026E-9 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 4.941678884038287 2.7465356997214227E-4 0.12897411530382139 0.10961011443164072 2.5661942213366343E-5 0.009941702897883289 0.005632712629793214 1.017562458787667E-5 0.002986471691907917 0.0010254896296404009 2.2603294069810525E-6 8.756750844778135E-4 4.961349336825982E-4 8.483267135001907E-7 3.2865057819216016E-4 1.862049471389821E-4 7.060013467404309E-7 2.4864750285711517E-4 9.391817774048974E-5 1.7171754211781124E-8 6.652515900378115E-6 3.769144050757962E-6 1.1432653393070749E-8 4.194250611711765E-6 1.9010834369743098E-6 6.393544710576151E-11 2.251750558309575E-8 8.505225539469522E-9 8.513420321258633E-11 2.4986268480309502E-8 7.078287869093775E-9 1.2754076295260396E-9
6.4 6.4 3.8 4.906434745201772 0.18268352405273452 0.12897411530382139 1.6479214198328535E-4 0.017068826150888526 0.009941702897883289 8.468440930410894E-6 0.006768231555626646 0.002986471691907917 1.5417613011934347E-6 0.0015034391929775704 8.756750844778135E-4 7.459087043037473E-7 5.64257415572673E-4 3.2865057819216016E-4 2.799478154550629E-7 4.695908887024487E-4 2.4864750285711517E-4 1.412002693480862E-7 1.142164863866049E-5 6.652515900378115E-6 5.666678889887771E-9 7.604333747897239E-6 4.194250611711765E-6 2.858163348267687E-9 4.2526127697347605E-8 2.251750558309575E-8 1.2787089421152303E-11 5.66263029527502E-8 2.4986268480309502E-8 1.0641775401573292E-11 1.2754076295260396E-9
6.4 6.4 6.4 4.9092061517502215 0.14085842092104486 1.4951055713872412E-4 2.872047833525258E-10 0.013160945471447976 1.1524712037518108E-5 1.4759057765017797E-11 0.005218655674051662 3.462005112299857E-6 2.687028733053797E-12 0.0011592291739045892 1.0151081047880475E-6 1.2999924950429364E-12 4.350715750787313E-4 3.809813382609635E-7 4.879016118131368E-13 3.6207879941292897E-4 2.8823943933049264E-7 2.4608814643327263E-13 8.806680295330312E-6 7.711790511582468E-9 9.876061220586741E-15 5.863333595295741E-6 4.8620976717634475E-9 4.981294467964446E-15 3.2789838199124826E-8 2.6102949395484064E-11 2.2285730391707147E-17 4.3661800689911194E-8 2.8964811369387465E-11 1.854681152821655E-17 1.2754076295260396E-9

55
Examples/jFuzzyLogic/QoS/MamdaniQoSFewRules.fcl
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@ -1,55 +0,0 @@
FUNCTION_BLOCK MamdaniQoSFewRules
VAR_INPUT
commitment : REAL;
clarity : REAL;
influence : REAL;
END_VAR
VAR_OUTPUT
service_quality : REAL;
END_VAR
FUZZIFY commitment
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for commitment
END_FUZZIFY
FUZZIFY clarity
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for clarity
END_FUZZIFY
FUZZIFY influence
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for influence
END_FUZZIFY
DEFUZZIFY service_quality
TERM inadequate := GAUSS 0 1;
TERM sufficient := GAUSS 2.5 1;
TERM excellent := GAUSS 5 1;
METHOD : COG;
DEFAULT := 0;
RANGE := (-4.0 .. 9.0); // Added range for service_quality
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : MIN;
RULE 1 : IF commitment IS fully AND influence IS high THEN service_quality IS excellent;
RULE 2 : IF commitment IS partially AND clarity IS high AND influence IS low THEN service_quality IS sufficient;
RULE 3 : IF commitment IS nothing THEN service_quality IS inadequate;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/QoS/MamdaniQoSFewRules.fld
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@ -1,126 +0,0 @@
clarity commitment influence service_quality No1.1 No1.2 No1.3
-4.0 -4.0 -4.0 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 -1.4 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 1.2000000000000002 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 3.8 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 6.4 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -1.4 -4.0 2.1440130067640695E-4 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 -1.4 2.1441791333979342E-4 1.2754076295260396E-9 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 1.2000000000000002 2.1441791333979342E-4 1.2754076295260396E-9 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 3.8 2.1441791333979342E-4 1.2754076295260396E-9 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 6.4 2.1441791333979342E-4 1.2754076295260396E-9 2.576757109154981E-18 0.37531109885139957
-4.0 1.2000000000000002 -4.0 1.9531210161944423E-4 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 -1.4 1.9532595962674313E-4 1.2754076295260396E-9 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 1.2000000000000002 0.013466242916050405 7.318024188804728E-4 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 3.8 0.013466242916050405 7.318024188804728E-4 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 6.4 0.013466242916050405 7.318024188804728E-4 2.576757109154981E-18 0.48675225595997157
-4.0 3.8 -4.0 0.05592821568344743 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 -1.4 0.05593232172333802 1.2754076295260396E-9 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 1.2000000000000002 2.4969922645135156 7.318024188804728E-4 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 3.8 4.98650133474635 0.48675225595997157 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 6.4 4.983844332639953 0.37531109885139935 2.576757109154981E-18 7.318024188804728E-4
-4.0 6.4 -4.0 1.274193733749591 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 -1.4 2.4934999999999605 1.2754076295260396E-9 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 1.2000000000000002 4.941040359589573 7.318024188804728E-4 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 3.8 4.999773597633503 0.37531109885139935 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 6.4 4.999773597633503 0.37531109885139935 2.576757109154981E-18 1.2754076295260396E-9
-1.4 -4.0 -4.0 0.11815440484561586 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -4.0 -1.4 0.11815440484561586 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -4.0 1.2000000000000002 0.11815440484561586 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -4.0 3.8 0.11815440484561586 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -4.0 6.4 0.11815440484561586 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -1.4 -4.0 2.144177309941489E-4 2.576757109154981E-18 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 -1.4 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 1.2000000000000002 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 3.8 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 6.4 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 1.2000000000000002 -4.0 1.9532580751709105E-4 2.576757109154981E-18 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 -1.4 1.9532595962674313E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 1.2000000000000002 0.013466242916050405 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 3.8 0.013466242916050405 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 6.4 0.013466242916050405 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
-1.4 3.8 -4.0 0.05593227661090372 2.576757109154981E-18 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 -1.4 0.05593232172333802 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 1.2000000000000002 2.4969922645135156 7.318024188804728E-4 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 3.8 4.98650133474635 0.48675225595997157 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 6.4 4.983844332639953 0.37531109885139935 1.2754076295260396E-9 7.318024188804728E-4
-1.4 6.4 -4.0 2.481925003446635 2.576757109154981E-18 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 -1.4 2.4934999999999605 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 1.2000000000000002 4.941040359589573 7.318024188804728E-4 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 3.8 4.999773597633503 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 6.4 4.999773597633503 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9
1.2000000000000002 -4.0 -4.0 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
1.2000000000000002 -4.0 -1.4 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
1.2000000000000002 -4.0 1.2000000000000002 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
1.2000000000000002 -4.0 3.8 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
1.2000000000000002 -4.0 6.4 0.11815440484561586 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
1.2000000000000002 -1.4 -4.0 0.00337352439733487 2.576757109154981E-18 3.3546262790251185E-4 0.37531109885139957
1.2000000000000002 -1.4 -1.4 0.006864070932523873 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
1.2000000000000002 -1.4 1.2000000000000002 0.006864070932523873 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
1.2000000000000002 -1.4 3.8 0.006864070932523873 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
1.2000000000000002 -1.4 6.4 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
1.2000000000000002 1.2000000000000002 -4.0 0.002830854341554809 2.576757109154981E-18 3.3546262790251185E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 -1.4 0.0057435169812833 1.2754076295260396E-9 7.318024188804728E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 1.2000000000000002 0.013466242916050405 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 3.8 0.013466242916050405 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 6.4 0.013466242916050405 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
1.2000000000000002 3.8 -4.0 0.7371439769851642 2.576757109154981E-18 3.3546262790251185E-4 7.318024188804728E-4
1.2000000000000002 3.8 -1.4 1.3051507596381537 1.2754076295260396E-9 7.318024188804728E-4 7.318024188804728E-4
1.2000000000000002 3.8 1.2000000000000002 2.4969922645135156 7.318024188804728E-4 7.318024188804728E-4 7.318024188804728E-4
1.2000000000000002 3.8 3.8 4.98650133474635 0.48675225595997157 7.318024188804728E-4 7.318024188804728E-4
1.2000000000000002 3.8 6.4 4.983844332639953 0.37531109885139935 1.2754076295260396E-9 7.318024188804728E-4
1.2000000000000002 6.4 -4.0 2.4999994818236524 2.576757109154981E-18 6.252150377482015E-5 1.2754076295260396E-9
1.2000000000000002 6.4 -1.4 2.4999998133236305 1.2754076295260396E-9 6.252150377482015E-5 1.2754076295260396E-9
1.2000000000000002 6.4 1.2000000000000002 4.7897223007885525 7.318024188804728E-4 6.252150377482015E-5 1.2754076295260396E-9
1.2000000000000002 6.4 3.8 4.9991437345489995 0.37531109885139935 6.252150377482015E-5 1.2754076295260396E-9
1.2000000000000002 6.4 6.4 4.999773597633503 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9
3.8 -4.0 -4.0 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
3.8 -4.0 -1.4 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
3.8 -4.0 1.2000000000000002 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
3.8 -4.0 3.8 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
3.8 -4.0 6.4 0.11815440484561586 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
3.8 -1.4 -4.0 0.00337352439733487 2.576757109154981E-18 3.3546262790251185E-4 0.37531109885139957
3.8 -1.4 -1.4 0.026192490780329366 1.2754076295260396E-9 0.0030887154082367718 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.026192490780329366 1.2754076295260396E-9 0.0030887154082367718 0.37531109885139957
3.8 -1.4 3.8 0.006864070932523873 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
3.8 -1.4 6.4 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
3.8 1.2000000000000002 -4.0 0.002830854341554809 2.576757109154981E-18 3.3546262790251185E-4 0.48675225595997157
3.8 1.2000000000000002 -1.4 1.1153641551681739 1.2754076295260396E-9 0.37531109885139957 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 1.2539682405047998 7.318024188804728E-4 0.48675225595997157 0.48675225595997157
3.8 1.2000000000000002 3.8 0.013466242916050405 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
3.8 1.2000000000000002 6.4 0.013466242916050405 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
3.8 3.8 -4.0 0.7371439769851642 2.576757109154981E-18 3.3546262790251185E-4 7.318024188804728E-4
3.8 3.8 -1.4 2.4897435637821252 1.2754076295260396E-9 0.19789869908361474 7.318024188804728E-4
3.8 3.8 1.2000000000000002 2.4999683652434324 7.318024188804728E-4 0.19789869908361474 7.318024188804728E-4
3.8 3.8 3.8 4.98650133474635 0.48675225595997157 7.318024188804728E-4 7.318024188804728E-4
3.8 3.8 6.4 4.983844332639953 0.37531109885139935 1.2754076295260396E-9 7.318024188804728E-4
3.8 6.4 -4.0 2.4999994818236524 2.576757109154981E-18 6.252150377482015E-5 1.2754076295260396E-9
3.8 6.4 -1.4 2.4999998133236305 1.2754076295260396E-9 6.252150377482015E-5 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 4.7897223007885525 7.318024188804728E-4 6.252150377482015E-5 1.2754076295260396E-9
3.8 6.4 3.8 4.9991437345489995 0.37531109885139935 6.252150377482015E-5 1.2754076295260396E-9
3.8 6.4 6.4 4.999773597633503 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9
6.4 -4.0 -4.0 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
6.4 -4.0 -1.4 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
6.4 -4.0 3.8 0.11824597576586889 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
6.4 -4.0 6.4 0.11815440484561586 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
6.4 -1.4 -4.0 0.00337352439733487 2.576757109154981E-18 3.3546262790251185E-4 0.37531109885139957
6.4 -1.4 -1.4 0.026192490780329366 1.2754076295260396E-9 0.0030887154082367718 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.026192490780329366 1.2754076295260396E-9 0.0030887154082367718 0.37531109885139957
6.4 -1.4 3.8 0.006864070932523873 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
6.4 -1.4 6.4 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
6.4 1.2000000000000002 -4.0 0.002830854341554809 2.576757109154981E-18 3.3546262790251185E-4 0.48675225595997157
6.4 1.2000000000000002 -1.4 1.1153641551681732 1.2754076295260396E-9 0.37531109885139935 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 1.1196711092043583 7.318024188804728E-4 0.37531109885139935 0.48675225595997157
6.4 1.2000000000000002 3.8 0.013466242916050405 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
6.4 1.2000000000000002 6.4 0.013466242916050405 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
6.4 3.8 -4.0 0.7371439769851642 2.576757109154981E-18 3.3546262790251185E-4 7.318024188804728E-4
6.4 3.8 -1.4 2.4897435637821252 1.2754076295260396E-9 0.19789869908361474 7.318024188804728E-4
6.4 3.8 1.2000000000000002 2.4999683652434324 7.318024188804728E-4 0.19789869908361474 7.318024188804728E-4
6.4 3.8 3.8 4.98650133474635 0.48675225595997157 7.318024188804728E-4 7.318024188804728E-4
6.4 3.8 6.4 4.983844332639953 0.37531109885139935 1.2754076295260396E-9 7.318024188804728E-4
6.4 6.4 -4.0 2.4999994818236524 2.576757109154981E-18 6.252150377482015E-5 1.2754076295260396E-9
6.4 6.4 -1.4 2.4999998133236305 1.2754076295260396E-9 6.252150377482015E-5 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 4.7897223007885525 7.318024188804728E-4 6.252150377482015E-5 1.2754076295260396E-9
6.4 6.4 3.8 4.9991437345489995 0.37531109885139935 6.252150377482015E-5 1.2754076295260396E-9
6.4 6.4 6.4 4.999773597633503 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9

83
Examples/jFuzzyLogic/QoS/MamdaniQoSManyRules.fcl
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@ -1,83 +0,0 @@
FUNCTION_BLOCK MamdaniQoSFewRules
VAR_INPUT
commitment : REAL;
clarity : REAL;
influence : REAL;
END_VAR
VAR_OUTPUT
service_quality : REAL;
END_VAR
FUZZIFY commitment
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for commitment
END_FUZZIFY
FUZZIFY clarity
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for clarity
END_FUZZIFY
FUZZIFY influence
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for influence
END_FUZZIFY
DEFUZZIFY service_quality
TERM inadequate := GAUSS 0 1;
TERM sufficient := GAUSS 2.5 1;
TERM excellent := GAUSS 5 1;
METHOD : COG;
DEFAULT := 0;
RANGE := (-4.0 .. 9.0); // Added range for service_quality
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : MIN;
RULE 1 : IF commitment IS fully AND influence IS high THEN service_quality IS excellent;
RULE 2 : IF commitment IS fully AND influence IS medium THEN service_quality IS excellent WITH 0.8;
RULE 3 : IF commitment IS fully AND influence IS low THEN service_quality IS excellent WITH 0.6;
RULE 4 : IF commitment IS largely AND influence IS high AND clarity IS NOT high THEN service_quality IS excellent;
RULE 5 : IF commitment IS largely AND influence IS medium AND clarity IS NOT high THEN service_quality IS excellent WITH 0.66;
RULE 6 : IF commitment IS largely AND influence IS low AND clarity IS NOT high THEN service_quality IS excellent WITH 0.33;
RULE 7 : IF commitment IS largely AND influence IS high AND clarity IS high THEN service_quality IS sufficient WITH 0.66;
RULE 8 : IF commitment IS largely AND influence IS medium AND clarity IS high THEN service_quality IS sufficient WITH 0.33;
RULE 9 : IF commitment IS largely AND influence IS low AND clarity IS high THEN service_quality IS sufficient WITH 0.1;
RULE 10 : IF commitment IS satISfactory AND influence IS high THEN service_quality IS sufficient;
RULE 11 : IF commitment IS satISfactory AND influence IS medium THEN service_quality IS sufficient WITH 0.66;
RULE 12 : IF commitment IS satISfactory AND influence IS low THEN service_quality IS sufficient WITH 0.33;
RULE 13 : IF commitment IS satISfactory AND influence IS high AND clarity IS high THEN service_quality IS sufficient;
RULE 14 : IF commitment IS satISfactory AND influence IS medium AND clarity IS high THEN service_quality IS sufficient WITH 0.66;
RULE 15 : IF commitment IS satISfactory AND influence IS low AND clarity IS high THEN service_quality IS sufficient WITH 0.33;
RULE 16 : IF commitment IS satISfactory AND influence IS high AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.5;
RULE 17 : IF commitment IS satISfactory AND influence IS medium AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.3;
RULE 18 : IF commitment IS satISfactory AND influence IS low AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.1;
RULE 19 : IF commitment IS partially AND influence IS high AND clarity IS high THEN service_quality IS sufficient;
RULE 20 : IF commitment IS partially AND influence IS medium AND clarity IS high THEN service_quality IS sufficient WITH 0.66;
RULE 21 : IF commitment IS partially AND influence IS low AND clarity IS high THEN service_quality IS sufficient WITH 0.33;
RULE 22 : IF commitment IS partially AND influence IS high AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.4;
RULE 23 : IF commitment IS partially AND influence IS medium AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.25;
RULE 24 : IF commitment IS partially AND influence IS low AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.1;
RULE 25 : IF commitment IS minimal AND influence IS high AND clarity IS high THEN service_quality IS inadequate WITH 0.5;
RULE 26 : IF commitment IS minimal AND influence IS medium AND clarity IS high THEN service_quality IS inadequate WITH 0.3;
RULE 27 : IF commitment IS minimal AND influence IS low AND clarity IS high THEN service_quality IS inadequate WITH 0.1;
RULE 28 : IF commitment IS minimal AND influence IS high AND clarity IS NOT high THEN service_quality IS inadequate WITH 0.4;
RULE 29 : IF commitment IS minimal AND influence IS medium AND clarity IS NOT high THEN service_quality IS inadequate WITH 0.2;
RULE 30 : IF commitment IS minimal AND influence IS low AND clarity IS NOT high THEN service_quality IS inadequate WITH 0.05;
RULE 31 : IF commitment IS nothing THEN service_quality IS inadequate;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/QoS/MamdaniQoSManyRules.fld
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@ -1,126 +0,0 @@
clarity commitment influence service_quality No1.1 No1.2 No1.3 No1.4 No1.5 No1.6 No1.7 No1.8 No1.9 No1.10 No1.11 No1.12 No1.13 No1.14 No1.15 No1.16 No1.17 No1.18 No1.19 No1.20 No1.21 No1.22 No1.23 No1.24 No1.25 No1.26 No1.27 No1.28 No1.29 No1.30 No1.31
-4.0 -4.0 -4.0 0.11815608791282411 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.0307028436619925E-18 1.6728965228231954E-10 1.522997974471263E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 1.3383172182585565E-10 1.8633265860393355E-7 3.3546262790251185E-4
-4.0 -4.0 -1.4 0.11817141532486804 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 5.101630518104158E-10 3.807494936178157E-9 1.522997974471263E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 5.101630518104158E-10 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
-4.0 -4.0 1.2000000000000002 0.1181865280667859 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
-4.0 -4.0 3.8 0.1181865280667859 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
-4.0 -4.0 6.4 0.1181865280667859 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.091991897885052E-9 3.807494936178157E-9 1.2754076295260396E-10 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.4906612688314684E-6 7.453306344157342E-7 6.377038147630198E-11 3.3546262790251185E-4
-4.0 -1.4 -4.0 5.607142338016129E-4 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 2.0074758273878343E-10 6.252150377482016E-6 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.37531109885139957
-4.0 -1.4 -1.4 0.003135044822862266 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 1.2754076295260396E-9 3.072772372416832E-7 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.377038147630198E-10 1.8756451132446044E-5 6.252150377482016E-6 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 5.101630518104158E-10 1.2448885537581848E-4 3.088715408236772E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 5.101630518104158E-10 9.959108430065478E-5 0.0028067381417066863 0.37531109885139957
-4.0 -1.4 1.2000000000000002 0.007215402160999039 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 2.9272096755218914E-4 7.721788520591929E-4 3.088715408236772E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 2.9272096755218914E-4 0.011226952566826745 0.0028067381417066863 0.37531109885139957
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1.2000000000000002 3.8 3.8 3.710740189055049 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.0791594796334459 0.049474674770903684 7.318024188804729E-5 3.659012094402364E-4 2.1954072566414182E-4 7.318024188804729E-5 0.00793643789774812 0.00396821894887406 3.659012094402364E-5 7.318024188804728E-4
1.2000000000000002 3.8 6.4 3.701537173785213 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 4.829895964611121E-4 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.0791594796334459 1.2448885537581826E-4 1.2754076295260396E-10 3.659012094402364E-4 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 9.959108430065462E-5 6.377038147630198E-11 7.318024188804728E-4
1.2000000000000002 6.4 -4.0 4.03006270824493 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.0307028436619925E-18 1.6728965228231954E-10 6.252150377482016E-6 1.2883785545774905E-18 2.0074758273878343E-10 4.6557157157830784E-8 1.0307028436619925E-18 1.3383172182585565E-10 2.3278578578915392E-8 1.2754076295260396E-9
1.2000000000000002 6.4 -1.4 4.98625374927366 1.2754076295260396E-9 3.9836433720261914E-4 0.2251866593108396 1.2754076295260396E-9 3.286505781921608E-4 0.018524471735264114 8.417690354871861E-10 1.643252890960804E-4 7.318024188804729E-5 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181328 1.2754076295260396E-9 3.286505781921608E-4 2.4149479823055604E-4 6.377038147630198E-10 1.4938662645098218E-4 3.0887154082367665E-4 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 5.101630518104158E-10 1.5630375943705038E-5 6.252150377482016E-6 6.377038147630198E-10 1.3967147147349234E-7 4.6557157157830784E-8 5.101630518104158E-10 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
1.2000000000000002 6.4 1.2000000000000002 4.979005883759914 7.318024188804728E-4 0.3002488790811195 0.2251866593108396 7.318024188804728E-4 0.03704894347052823 0.018524471735264114 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 3.659012094402364E-4 9.266146224710298E-4 3.0887154082367665E-4 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
1.2000000000000002 6.4 3.8 4.973794415273984 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.001544357704118383 9.266146224710298E-4 7.318024188804729E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
1.2000000000000002 6.4 6.4 4.973794415273984 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 4.829895964611121E-4 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 1.493866264509819E-4 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 2.5008601509928064E-5 1.5630375943705038E-5 1.2754076295260396E-10 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 9.311431431566157E-8 6.377038147630198E-11 1.2754076295260396E-9
3.8 -4.0 -4.0 0.11817949341112592 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 4.179174631201078E-15 1.2664165549094177E-15 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 1.2883785545774905E-18 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 4.416446820253236E-10 5.025893315755168E-9 1.0307028436619925E-18 1.6728965228231954E-10 1.522997974471263E-9 1.2883785545774905E-18 2.0074758273878343E-10 3.726653172078671E-7 1.0307028436619925E-18 1.3383172182585565E-10 1.8633265860393355E-7 3.3546262790251185E-4
3.8 -4.0 -1.4 0.11821244175982118 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.2754076295260396E-9 1.0051786631510336E-8 5.025893315755168E-9 5.101630518104158E-10 3.807494936178157E-9 1.522997974471263E-9 6.377038147630198E-10 1.1179959516236013E-6 3.726653172078671E-7 5.101630518104158E-10 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
3.8 -4.0 1.2000000000000002 0.11824597576586889 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 5.025893315755168E-9 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
3.8 -4.0 3.8 0.11824597576586889 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 5.025893315755168E-9 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
3.8 -4.0 6.4 0.11824597576586889 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 4.2088451774359307E-10 6.091991897885052E-9 3.807494936178157E-9 1.2754076295260396E-10 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 7.453306344157342E-7 6.377038147630198E-11 3.3546262790251185E-4
3.8 -1.4 -4.0 0.00130634613143027 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 2.208223410126618E-10 4.6557157157830784E-8 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.2883785545774905E-18 2.0074758273878343E-10 6.252150377482016E-6 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.37531109885139957
3.8 -1.4 -1.4 0.00932831265194775 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 1.2754076295260396E-9 3.072772372416832E-7 1.536386186208416E-7 8.417690354871861E-10 1.536386186208416E-7 4.6557157157830784E-8 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 6.377038147630198E-10 1.8756451132446044E-5 6.252150377482016E-6 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181348 5.101630518104158E-10 1.2448885537581848E-4 3.088715408236772E-4 6.377038147630198E-10 1.4938662645098218E-4 0.005613476283413373 5.101630518104158E-10 9.959108430065478E-5 0.0028067381417066863 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.01778386544879001 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 7.318024188804728E-4 0.0020385521694362696 0.0010192760847181348 2.9272096755218914E-4 7.721788520591929E-4 3.088715408236772E-4 3.659012094402364E-4 0.016840428850240115 0.005613476283413373 2.9272096755218914E-4 0.011226952566826745 0.0028067381417066863 0.37531109885139957
3.8 -1.4 3.8 0.02619496147046741 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 0.0030887154082367718 0.0020385521694362696 2.4149479823055604E-4 0.0012354861632947088 7.721788520591929E-4 7.318024188804729E-5 0.028067381417066863 0.016840428850240115 7.318024188804729E-5 0.02245390513365349 0.011226952566826745 3.659012094402364E-5 0.37531109885139957
3.8 -1.4 6.4 0.02619496147046741 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 1.8756451132446044E-5 1.2754076295260396E-10 0.0030887154082367718 3.286505781921602E-4 4.2088451774359307E-10 0.0012354861632947088 1.2448885537581826E-4 1.2754076295260396E-10 0.028067381417066863 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 9.959108430065462E-5 6.377038147630198E-11 0.37531109885139957
3.8 1.2000000000000002 -4.0 0.0037609776242212584 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.48675225595997157
3.8 1.2000000000000002 -1.4 0.6112624914549254 1.2754076295260396E-9 3.9836433720261914E-4 4.3908145132828363E-4 1.2754076295260396E-9 3.286505781921608E-4 0.006547561265642199 8.417690354871861E-10 1.643252890960804E-4 0.00198410947443703 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 6.377038147630198E-10 1.4938662645098218E-4 0.019789869908361474 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 5.101630518104158E-10 1.2448885537581848E-4 0.03753110988513996 6.377038147630198E-10 1.4938662645098218E-4 0.03753110988513996 5.101630518104158E-10 9.959108430065478E-5 0.01876555494256998 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 1.0425407980229744 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 7.318024188804728E-4 0.013095122531284397 0.006547561265642199 4.829895964611121E-4 0.006547561265642199 0.00198410947443703 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 3.659012094402364E-4 0.05936960972508442 0.019789869908361474 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 2.9272096755218914E-4 0.10738933955268481 0.04867522559599716 3.659012094402364E-4 0.12886720746322178 0.04867522559599716 2.9272096755218914E-4 0.08591147164214785 0.02433761279799858 0.48675225595997157
3.8 1.2000000000000002 3.8 1.3425868428254457 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 0.013095122531284397 0.006547561265642199 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.09894934954180737 0.05936960972508442 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.19470090238398863 0.10738933955268481 7.318024188804729E-5 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 0.19470090238398863 0.08591147164214785 3.659012094402364E-5 0.48675225595997157
3.8 1.2000000000000002 6.4 1.2196245188194168 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 0.013095122531284397 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 1.493866264509819E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.15012443954055976 1.2448885537581826E-4 1.2754076295260396E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 9.959108430065462E-5 6.377038147630198E-11 0.48675225595997157
3.8 3.8 -4.0 0.9663752852395127 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 7.318024188804728E-4
3.8 3.8 -1.4 4.090487675317852 1.2754076295260396E-9 3.9836433720261914E-4 0.22518665931083973 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 8.417690354871861E-10 1.643252890960804E-4 0.03753110988513996 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 6.377038147630198E-10 1.4938662645098218E-4 0.03753110988513996 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 5.101630518104158E-10 1.2448885537581848E-4 0.019789869908361474 6.377038147630198E-10 1.4938662645098218E-4 0.00198410947443703 5.101630518104158E-10 9.959108430065478E-5 9.92054737218515E-4 7.318024188804728E-4
3.8 3.8 1.2000000000000002 3.817074116634072 7.318024188804728E-4 0.3436458865685914 0.29205135357598294 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 4.829895964611121E-4 0.14175392820954397 0.04867522559599716 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 3.659012094402364E-4 0.12886720746322178 0.04867522559599716 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 2.9272096755218914E-4 0.049474674770903684 0.019789869908361474 3.659012094402364E-4 0.005952328423311089 0.00198410947443703 2.9272096755218914E-4 0.00396821894887406 9.92054737218515E-4 7.318024188804728E-4
3.8 3.8 3.8 3.7015444515220532 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.3212564889335813 0.14175392820954397 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.0791594796334459 0.049474674770903684 7.318024188804729E-5 0.009920547372185149 0.005952328423311089 7.318024188804729E-5 0.00793643789774812 0.00396821894887406 3.659012094402364E-5 7.318024188804728E-4
3.8 3.8 6.4 3.690206482447506 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.2477053252419236 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.0791594796334459 1.2448885537581826E-4 1.2754076295260396E-10 0.009920547372185149 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 9.959108430065462E-5 6.377038147630198E-11 7.318024188804728E-4
3.8 6.4 -4.0 4.03006270824493 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.0307028436619925E-18 1.6728965228231954E-10 6.252150377482016E-6 1.2883785545774905E-18 2.0074758273878343E-10 4.6557157157830784E-8 1.0307028436619925E-18 1.3383172182585565E-10 2.3278578578915392E-8 1.2754076295260396E-9
3.8 6.4 -1.4 4.9330976812916925 1.2754076295260396E-9 3.9836433720261914E-4 0.2251866593108396 1.2754076295260396E-9 3.286505781921608E-4 0.018524471735264114 8.417690354871861E-10 1.643252890960804E-4 0.005613476283413368 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181328 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181328 6.377038147630198E-10 1.4938662645098218E-4 3.0887154082367665E-4 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 5.101630518104158E-10 1.5630375943705038E-5 6.252150377482016E-6 6.377038147630198E-10 1.3967147147349234E-7 4.6557157157830784E-8 5.101630518104158E-10 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 4.840793607186286 7.318024188804728E-4 0.3002488790811195 0.2251866593108396 7.318024188804728E-4 0.03704894347052823 0.018524471735264114 4.829895964611121E-4 0.018524471735264114 0.005613476283413368 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 3.659012094402364E-4 9.266146224710298E-4 3.0887154082367665E-4 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
3.8 6.4 3.8 4.750683615645646 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 0.03704894347052823 0.018524471735264114 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.001544357704118383 9.266146224710298E-4 7.318024188804729E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
3.8 6.4 6.4 4.750683615645646 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 0.03704894347052823 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 1.493866264509819E-4 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 2.5008601509928064E-5 1.5630375943705038E-5 1.2754076295260396E-10 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 9.311431431566157E-8 6.377038147630198E-11 1.2754076295260396E-9
6.4 -4.0 -4.0 0.11817949341112592 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 4.179174631201078E-15 1.2664165549094177E-15 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 1.2883785545774905E-18 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 4.416446820253236E-10 5.025893315755168E-9 1.0307028436619925E-18 1.6728965228231954E-10 1.522997974471263E-9 1.2883785545774905E-18 2.0074758273878343E-10 3.726653172078671E-7 1.0307028436619925E-18 1.3383172182585565E-10 1.8633265860393355E-7 3.3546262790251185E-4
6.4 -4.0 -1.4 0.11821244175982118 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.2754076295260396E-9 1.0051786631510336E-8 5.025893315755168E-9 5.101630518104158E-10 3.807494936178157E-9 1.522997974471263E-9 6.377038147630198E-10 1.1179959516236013E-6 3.726653172078671E-7 5.101630518104158E-10 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 0.11824597576586889 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 5.025893315755168E-9 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
6.4 -4.0 3.8 0.11824597576586889 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 5.025893315755168E-9 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
6.4 -4.0 6.4 0.11824597576586889 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 4.2088451774359307E-10 6.091991897885052E-9 3.807494936178157E-9 1.2754076295260396E-10 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 7.453306344157342E-7 6.377038147630198E-11 3.3546262790251185E-4
6.4 -1.4 -4.0 0.00130634613143027 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 2.208223410126618E-10 4.6557157157830784E-8 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.2883785545774905E-18 2.0074758273878343E-10 6.252150377482016E-6 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.37531109885139957
6.4 -1.4 -1.4 0.00932831265194775 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 1.2754076295260396E-9 3.072772372416832E-7 1.536386186208416E-7 8.417690354871861E-10 1.536386186208416E-7 4.6557157157830784E-8 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 6.377038147630198E-10 1.8756451132446044E-5 6.252150377482016E-6 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181348 5.101630518104158E-10 1.2448885537581848E-4 3.088715408236772E-4 6.377038147630198E-10 1.4938662645098218E-4 0.005613476283413373 5.101630518104158E-10 9.959108430065478E-5 0.0028067381417066863 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.01778386544879001 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 7.318024188804728E-4 0.0020385521694362696 0.0010192760847181348 2.9272096755218914E-4 7.721788520591929E-4 3.088715408236772E-4 3.659012094402364E-4 0.016840428850240115 0.005613476283413373 2.9272096755218914E-4 0.011226952566826745 0.0028067381417066863 0.37531109885139957
6.4 -1.4 3.8 0.02619496147046741 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 0.0030887154082367718 0.0020385521694362696 2.4149479823055604E-4 0.0012354861632947088 7.721788520591929E-4 7.318024188804729E-5 0.028067381417066863 0.016840428850240115 7.318024188804729E-5 0.02245390513365349 0.011226952566826745 3.659012094402364E-5 0.37531109885139957
6.4 -1.4 6.4 0.02619496147046741 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 1.8756451132446044E-5 1.2754076295260396E-10 0.0030887154082367718 3.286505781921602E-4 4.2088451774359307E-10 0.0012354861632947088 1.2448885537581826E-4 1.2754076295260396E-10 0.028067381417066863 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 9.959108430065462E-5 6.377038147630198E-11 0.37531109885139957
6.4 1.2000000000000002 -4.0 0.0037609776242212584 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.48675225595997157
6.4 1.2000000000000002 -1.4 0.6112624914549251 1.2754076295260396E-9 3.9836433720261914E-4 4.3908145132828363E-4 1.2754076295260396E-9 3.286505781921608E-4 0.006547561265642199 8.417690354871861E-10 1.643252890960804E-4 0.00198410947443703 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 6.377038147630198E-10 1.4938662645098218E-4 0.019789869908361474 1.2754076295260396E-9 3.286505781921608E-4 0.1238526626209618 5.101630518104158E-10 1.2448885537581848E-4 0.03753110988513996 6.377038147630198E-10 1.4938662645098218E-4 0.03753110988513994 5.101630518104158E-10 9.959108430065478E-5 0.01876555494256998 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 0.9739714136639687 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 7.318024188804728E-4 0.013095122531284397 0.006547561265642199 4.829895964611121E-4 0.006547561265642199 0.00198410947443703 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 3.659012094402364E-4 0.05936960972508442 0.019789869908361474 7.318024188804728E-4 0.2477053252419236 0.1238526626209618 2.9272096755218914E-4 0.10738933955268481 0.04867522559599716 3.659012094402364E-4 0.1125933296554198 0.03753110988513994 2.9272096755218914E-4 0.08591147164214785 0.02433761279799858 0.48675225595997157
6.4 1.2000000000000002 3.8 1.2196245188194168 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 0.013095122531284397 0.006547561265642199 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.09894934954180737 0.05936960972508442 7.318024188804729E-5 0.37531109885139935 0.2477053252419236 2.4149479823055604E-4 0.19470090238398863 0.10738933955268481 7.318024188804729E-5 0.18765554942569967 0.1125933296554198 7.318024188804729E-5 0.19470090238398863 0.08591147164214785 3.659012094402364E-5 0.48675225595997157
6.4 1.2000000000000002 6.4 1.2196245188194168 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 0.013095122531284397 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 1.493866264509819E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.15012443954055976 1.2448885537581826E-4 1.2754076295260396E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 9.959108430065462E-5 6.377038147630198E-11 0.48675225595997157
6.4 3.8 -4.0 0.9663752852395127 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 7.318024188804728E-4
6.4 3.8 -1.4 4.090487675317852 1.2754076295260396E-9 3.9836433720261914E-4 0.22518665931083973 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 8.417690354871861E-10 1.643252890960804E-4 0.03753110988513994 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 1.2754076295260396E-9 3.286505781921608E-4 0.1238526626209618 6.377038147630198E-10 1.4938662645098218E-4 0.03753110988513996 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 5.101630518104158E-10 1.2448885537581848E-4 0.019789869908361474 6.377038147630198E-10 1.4938662645098218E-4 0.00198410947443703 5.101630518104158E-10 9.959108430065478E-5 9.92054737218515E-4 7.318024188804728E-4
6.4 3.8 1.2000000000000002 3.817074116634072 7.318024188804728E-4 0.3436458865685914 0.29205135357598294 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 4.829895964611121E-4 0.1238526626209618 0.03753110988513994 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 7.318024188804728E-4 0.2477053252419236 0.1238526626209618 3.659012094402364E-4 0.12886720746322178 0.04867522559599716 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 2.9272096755218914E-4 0.049474674770903684 0.019789869908361474 3.659012094402364E-4 0.005952328423311089 0.00198410947443703 2.9272096755218914E-4 0.00396821894887406 9.92054737218515E-4 7.318024188804728E-4
6.4 3.8 3.8 3.7015444515220532 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.2477053252419236 0.1238526626209618 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.37531109885139935 0.2477053252419236 2.4149479823055604E-4 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.0791594796334459 0.049474674770903684 7.318024188804729E-5 0.009920547372185149 0.005952328423311089 7.318024188804729E-5 0.00793643789774812 0.00396821894887406 3.659012094402364E-5 7.318024188804728E-4
6.4 3.8 6.4 3.690206482447506 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.2477053252419236 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.0791594796334459 1.2448885537581826E-4 1.2754076295260396E-10 0.009920547372185149 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 9.959108430065462E-5 6.377038147630198E-11 7.318024188804728E-4
6.4 6.4 -4.0 4.03006270824493 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.0307028436619925E-18 1.6728965228231954E-10 6.252150377482016E-6 1.2883785545774905E-18 2.0074758273878343E-10 4.6557157157830784E-8 1.0307028436619925E-18 1.3383172182585565E-10 2.3278578578915392E-8 1.2754076295260396E-9
6.4 6.4 -1.4 4.9330976812916925 1.2754076295260396E-9 3.9836433720261914E-4 0.2251866593108396 1.2754076295260396E-9 3.286505781921608E-4 0.018524471735264114 8.417690354871861E-10 1.643252890960804E-4 0.005613476283413368 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181328 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181328 6.377038147630198E-10 1.4938662645098218E-4 3.0887154082367665E-4 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 5.101630518104158E-10 1.5630375943705038E-5 6.252150377482016E-6 6.377038147630198E-10 1.3967147147349234E-7 4.6557157157830784E-8 5.101630518104158E-10 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 4.840793607186286 7.318024188804728E-4 0.3002488790811195 0.2251866593108396 7.318024188804728E-4 0.03704894347052823 0.018524471735264114 4.829895964611121E-4 0.018524471735264114 0.005613476283413368 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 3.659012094402364E-4 9.266146224710298E-4 3.0887154082367665E-4 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
6.4 6.4 3.8 4.750683615645646 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 0.03704894347052823 0.018524471735264114 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.001544357704118383 9.266146224710298E-4 7.318024188804729E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
6.4 6.4 6.4 4.750683615645646 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 0.03704894347052823 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 1.493866264509819E-4 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 2.5008601509928064E-5 1.5630375943705038E-5 1.2754076295260396E-10 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 9.311431431566157E-8 6.377038147630198E-11 1.2754076295260396E-9

55
Examples/jFuzzyLogic/QoS/SingletonQoSFewRules.fcl
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@ -1,55 +0,0 @@
FUNCTION_BLOCK SingletonQoSFewRules
VAR_INPUT
commitment : REAL;
clarity : REAL;
influence : REAL;
END_VAR
VAR_OUTPUT
service_quality : REAL;
END_VAR
FUZZIFY commitment
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for commitment
END_FUZZIFY
FUZZIFY clarity
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for clarity
END_FUZZIFY
FUZZIFY influence
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for influence
END_FUZZIFY
DEFUZZIFY service_quality
TERM inadequate := 0;
TERM sufficient := 2.5;
TERM excellent := 5;
METHOD : COGS;
DEFAULT := 0;
RANGE := (0.0 .. 5.0); // Added range for service_quality
END_DEFUZZIFY
RULEBLOCK No1
AND : MIN;
ACCU : MAX;
RULE 1 : IF commitment IS fully AND influence IS high THEN service_quality IS excellent;
RULE 2 : IF commitment IS partially AND clarity IS high AND influence IS low THEN service_quality IS sufficient;
RULE 3 : IF commitment IS nothing THEN service_quality IS inadequate;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/QoS/SingletonQoSFewRules.fld
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@ -1,126 +0,0 @@
clarity commitment influence service_quality No1.1 No1.2 No1.3
-4.0 -4.0 -4.0 5.760903513901482E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 -1.4 5.760903513901482E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 1.2000000000000002 5.760903513901482E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 3.8 5.760903513901482E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 6.4 5.760903513901482E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -1.4 -4.0 5.1492424225679916E-17 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 -1.4 1.6991339056898312E-8 1.2754076295260396E-9 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 1.2000000000000002 1.6991339056898312E-8 1.2754076295260396E-9 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 3.8 1.6991339056898312E-8 1.2754076295260396E-9 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 6.4 1.6991339056898312E-8 1.2754076295260396E-9 2.576757109154981E-18 0.37531109885139957
-4.0 1.2000000000000002 -4.0 3.970331535608048E-17 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 -1.4 1.3101198934940618E-8 1.2754076295260396E-9 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 1.2000000000000002 0.0075059112836849745 7.318024188804728E-4 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 3.8 0.0075059112836849745 7.318024188804728E-4 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 6.4 0.0075059112836849745 7.318024188804728E-4 2.576757109154981E-18 0.48675225595997157
-4.0 3.8 -4.0 2.6408328013218462E-14 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 -1.4 8.714137689993001E-6 1.2754076295260396E-9 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 1.2000000000000002 2.5 7.318024188804728E-4 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 3.8 4.992494088716315 0.48675225595997157 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 6.4 4.990269695074573 0.37531109885139935 2.576757109154981E-18 7.318024188804728E-4
-4.0 6.4 -4.0 1.5152550285241103E-8 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 -1.4 2.5000000000000004 1.2754076295260396E-9 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 1.2000000000000002 4.99999128586231 7.318024188804728E-4 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 3.8 4.999999983008662 0.37531109885139935 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 6.4 4.999999983008662 0.37531109885139935 2.576757109154981E-18 1.2754076295260396E-9
-1.4 -4.0 -4.0 9.504805301663191E-6 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -4.0 -1.4 9.504805301663191E-6 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -4.0 1.2000000000000002 9.504805301663191E-6 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -4.0 3.8 9.504805301663191E-6 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -4.0 6.4 9.504805301663191E-6 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
-1.4 -1.4 -4.0 8.495669554195368E-9 2.576757109154981E-18 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 -1.4 2.5487008472989575E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 1.2000000000000002 2.5487008472989575E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 3.8 2.5487008472989575E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 6.4 2.5487008472989575E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 1.2000000000000002 -4.0 6.5505994873219665E-9 2.576757109154981E-18 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 -1.4 1.9651798331066846E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 1.2000000000000002 0.007505917804813016 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 3.8 0.007505917804813016 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 6.4 0.007505917804813016 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
-1.4 3.8 -4.0 4.3570688582006414E-6 2.576757109154981E-18 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 -1.4 1.3071183740966453E-5 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 1.2000000000000002 2.5 7.318024188804728E-4 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 3.8 4.992494082195187 0.48675225595997157 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 6.4 4.990269686628437 0.37531109885139935 1.2754076295260396E-9 7.318024188804728E-4
-1.4 6.4 -4.0 1.2500000037881376 2.576757109154981E-18 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 -1.4 2.5000000000000004 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 1.2000000000000002 4.999986928816259 7.318024188804728E-4 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 3.8 4.999999974512992 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 6.4 4.999999974512992 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9
1.2000000000000002 -4.0 -4.0 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
1.2000000000000002 -4.0 -1.4 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
1.2000000000000002 -4.0 1.2000000000000002 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
1.2000000000000002 -4.0 3.8 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
1.2000000000000002 -4.0 6.4 9.504805301663191E-6 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
1.2000000000000002 -1.4 -4.0 0.002232568205745448 2.576757109154981E-18 3.3546262790251185E-4 0.37531109885139957
1.2000000000000002 -1.4 -1.4 0.004865169404485839 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
1.2000000000000002 -1.4 1.2000000000000002 0.004865169404485839 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
1.2000000000000002 -1.4 3.8 0.004865169404485839 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
1.2000000000000002 -1.4 6.4 2.5487008472989575E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
1.2000000000000002 1.2000000000000002 -4.0 0.0017217772851831675 2.576757109154981E-18 3.3546262790251185E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 -1.4 0.0037529687135552333 1.2754076295260396E-9 7.318024188804728E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 1.2000000000000002 0.011241990648635307 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 3.8 0.011241990648635307 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 6.4 0.007505917804813016 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
1.2000000000000002 3.8 -4.0 0.7857997151543754 2.576757109154981E-18 3.3546262790251185E-4 7.318024188804728E-4
1.2000000000000002 3.8 -1.4 1.2500032678044781 1.2754076295260396E-9 7.318024188804728E-4 7.318024188804728E-4
1.2000000000000002 3.8 1.2000000000000002 2.5000000000000004 7.318024188804728E-4 7.318024188804728E-4 7.318024188804728E-4
1.2000000000000002 3.8 3.8 4.988758009351365 0.48675225595997157 7.318024188804728E-4 7.318024188804728E-4
1.2000000000000002 3.8 6.4 4.990269686628437 0.37531109885139935 1.2754076295260396E-9 7.318024188804728E-4
1.2000000000000002 6.4 -4.0 2.499949002281903 2.576757109154981E-18 6.252150377482015E-5 1.2754076295260396E-9
1.2000000000000002 6.4 -1.4 2.5 1.2754076295260396E-9 6.252150377482015E-5 1.2754076295260396E-9
1.2000000000000002 6.4 1.2000000000000002 4.803216444780573 7.318024188804728E-4 6.252150377482015E-5 1.2754076295260396E-9
1.2000000000000002 6.4 3.8 4.999583587850963 0.37531109885139935 6.252150377482015E-5 1.2754076295260396E-9
1.2000000000000002 6.4 6.4 4.999999974512992 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9
3.8 -4.0 -4.0 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
3.8 -4.0 -1.4 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
3.8 -4.0 1.2000000000000002 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
3.8 -4.0 3.8 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
3.8 -4.0 6.4 9.504805301663191E-6 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
3.8 -1.4 -4.0 0.002232568205745448 2.576757109154981E-18 3.3546262790251185E-4 0.37531109885139957
3.8 -1.4 -1.4 0.020406444666765312 1.2754076295260396E-9 0.0030887154082367718 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.020406444666765312 1.2754076295260396E-9 0.0030887154082367718 0.37531109885139957
3.8 -1.4 3.8 0.004865169404485839 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
3.8 -1.4 6.4 2.5487008472989575E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
3.8 1.2000000000000002 -4.0 0.0017217772851831675 2.576757109154981E-18 3.3546262790251185E-4 0.48675225595997157
3.8 1.2000000000000002 -1.4 1.0884092762795572 1.2754076295260396E-9 0.37531109885139957 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 1.2528168310197556 7.318024188804728E-4 0.48675225595997157 0.48675225595997157
3.8 1.2000000000000002 3.8 0.011241990648635307 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
3.8 1.2000000000000002 6.4 0.007505917804813016 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
3.8 3.8 -4.0 0.7857997151543754 2.576757109154981E-18 3.3546262790251185E-4 7.318024188804728E-4
3.8 3.8 -1.4 2.490789416363066 1.2754076295260396E-9 0.19789869908361474 7.318024188804728E-4
3.8 3.8 1.2000000000000002 2.4999999999999996 7.318024188804728E-4 0.19789869908361474 7.318024188804728E-4
3.8 3.8 3.8 4.988758009351365 0.48675225595997157 7.318024188804728E-4 7.318024188804728E-4
3.8 3.8 6.4 4.990269686628437 0.37531109885139935 1.2754076295260396E-9 7.318024188804728E-4
3.8 6.4 -4.0 2.499949002281903 2.576757109154981E-18 6.252150377482015E-5 1.2754076295260396E-9
3.8 6.4 -1.4 2.5 1.2754076295260396E-9 6.252150377482015E-5 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 4.803216444780573 7.318024188804728E-4 6.252150377482015E-5 1.2754076295260396E-9
3.8 6.4 3.8 4.999583587850963 0.37531109885139935 6.252150377482015E-5 1.2754076295260396E-9
3.8 6.4 6.4 4.999999974512992 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9
6.4 -4.0 -4.0 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
6.4 -4.0 -1.4 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
6.4 -4.0 3.8 1.134946717944894E-4 2.576757109154981E-18 1.522997974471263E-8 3.3546262790251185E-4
6.4 -4.0 6.4 9.504805301663191E-6 2.576757109154981E-18 1.2754076295260396E-9 3.3546262790251185E-4
6.4 -1.4 -4.0 0.002232568205745448 2.576757109154981E-18 3.3546262790251185E-4 0.37531109885139957
6.4 -1.4 -1.4 0.020406444666765312 1.2754076295260396E-9 0.0030887154082367718 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.020406444666765312 1.2754076295260396E-9 0.0030887154082367718 0.37531109885139957
6.4 -1.4 3.8 0.004865169404485839 1.2754076295260396E-9 7.318024188804728E-4 0.37531109885139957
6.4 -1.4 6.4 2.5487008472989575E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
6.4 1.2000000000000002 -4.0 0.0017217772851831675 2.576757109154981E-18 3.3546262790251185E-4 0.48675225595997157
6.4 1.2000000000000002 -1.4 1.088409276279557 1.2754076295260396E-9 0.37531109885139935 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 1.0917269891114247 7.318024188804728E-4 0.37531109885139935 0.48675225595997157
6.4 1.2000000000000002 3.8 0.011241990648635307 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
6.4 1.2000000000000002 6.4 0.007505917804813016 7.318024188804728E-4 1.2754076295260396E-9 0.48675225595997157
6.4 3.8 -4.0 0.7857997151543754 2.576757109154981E-18 3.3546262790251185E-4 7.318024188804728E-4
6.4 3.8 -1.4 2.490789416363066 1.2754076295260396E-9 0.19789869908361474 7.318024188804728E-4
6.4 3.8 1.2000000000000002 2.4999999999999996 7.318024188804728E-4 0.19789869908361474 7.318024188804728E-4
6.4 3.8 3.8 4.988758009351365 0.48675225595997157 7.318024188804728E-4 7.318024188804728E-4
6.4 3.8 6.4 4.990269686628437 0.37531109885139935 1.2754076295260396E-9 7.318024188804728E-4
6.4 6.4 -4.0 2.499949002281903 2.576757109154981E-18 6.252150377482015E-5 1.2754076295260396E-9
6.4 6.4 -1.4 2.5 1.2754076295260396E-9 6.252150377482015E-5 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 4.803216444780573 7.318024188804728E-4 6.252150377482015E-5 1.2754076295260396E-9
6.4 6.4 3.8 4.999583587850963 0.37531109885139935 6.252150377482015E-5 1.2754076295260396E-9
6.4 6.4 6.4 4.999999974512992 0.37531109885139935 1.2754076295260396E-9 1.2754076295260396E-9

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Examples/jFuzzyLogic/QoS/SingletonQoSManyRules.fcl
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@ -1,83 +0,0 @@
FUNCTION_BLOCK SingletonQoSFewRules
VAR_INPUT
commitment : REAL;
clarity : REAL;
influence : REAL;
END_VAR
VAR_OUTPUT
service_quality : REAL;
END_VAR
FUZZIFY commitment
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for commitment
END_FUZZIFY
FUZZIFY clarity
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for clarity
END_FUZZIFY
FUZZIFY influence
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high:= GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for influence
END_FUZZIFY
DEFUZZIFY service_quality
TERM inadequate := 0;
TERM sufficient := 2.5;
TERM excellent := 5;
METHOD : COGS;
DEFAULT := 0;
RANGE := (0.0 .. 5.0); // Added range for service_quality
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : MIN;
RULE 1 : IF commitment IS fully AND influence IS high THEN service_quality IS excellent;
RULE 2 : IF commitment IS fully AND influence IS medium THEN service_quality IS excellent WITH 0.8;
RULE 3 : IF commitment IS fully AND influence IS low THEN service_quality IS excellent WITH 0.6;
RULE 4 : IF commitment IS largely AND influence IS high AND clarity IS NOT high THEN service_quality IS excellent;
RULE 5 : IF commitment IS largely AND influence IS medium AND clarity IS NOT high THEN service_quality IS excellent WITH 0.66;
RULE 6 : IF commitment IS largely AND influence IS low AND clarity IS NOT high THEN service_quality IS excellent WITH 0.33;
RULE 7 : IF commitment IS largely AND influence IS high AND clarity IS high THEN service_quality IS sufficient WITH 0.66;
RULE 8 : IF commitment IS largely AND influence IS medium AND clarity IS high THEN service_quality IS sufficient WITH 0.33;
RULE 9 : IF commitment IS largely AND influence IS low AND clarity IS high THEN service_quality IS sufficient WITH 0.1;
RULE 10 : IF commitment IS satISfactory AND influence IS high THEN service_quality IS sufficient;
RULE 11 : IF commitment IS satISfactory AND influence IS medium THEN service_quality IS sufficient WITH 0.66;
RULE 12 : IF commitment IS satISfactory AND influence IS low THEN service_quality IS sufficient WITH 0.33;
RULE 13 : IF commitment IS satISfactory AND influence IS high AND clarity IS high THEN service_quality IS sufficient;
RULE 14 : IF commitment IS satISfactory AND influence IS medium AND clarity IS high THEN service_quality IS sufficient WITH 0.66;
RULE 15 : IF commitment IS satISfactory AND influence IS low AND clarity IS high THEN service_quality IS sufficient WITH 0.33;
RULE 16 : IF commitment IS satISfactory AND influence IS high AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.5;
RULE 17 : IF commitment IS satISfactory AND influence IS medium AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.3;
RULE 18 : IF commitment IS satISfactory AND influence IS low AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.1;
RULE 19 : IF commitment IS partially AND influence IS high AND clarity IS high THEN service_quality IS sufficient;
RULE 20 : IF commitment IS partially AND influence IS medium AND clarity IS high THEN service_quality IS sufficient WITH 0.66;
RULE 21 : IF commitment IS partially AND influence IS low AND clarity IS high THEN service_quality IS sufficient WITH 0.33;
RULE 22 : IF commitment IS partially AND influence IS high AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.4;
RULE 23 : IF commitment IS partially AND influence IS medium AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.25;
RULE 24 : IF commitment IS partially AND influence IS low AND clarity IS NOT high THEN service_quality IS sufficient WITH 0.1;
RULE 25 : IF commitment IS minimal AND influence IS high AND clarity IS high THEN service_quality IS inadequate WITH 0.5;
RULE 26 : IF commitment IS minimal AND influence IS medium AND clarity IS high THEN service_quality IS inadequate WITH 0.3;
RULE 27 : IF commitment IS minimal AND influence IS low AND clarity IS high THEN service_quality IS inadequate WITH 0.1;
RULE 28 : IF commitment IS minimal AND influence IS high AND clarity IS NOT high THEN service_quality IS inadequate WITH 0.4;
RULE 29 : IF commitment IS minimal AND influence IS medium AND clarity IS NOT high THEN service_quality IS inadequate WITH 0.2;
RULE 30 : IF commitment IS minimal AND influence IS low AND clarity IS NOT high THEN service_quality IS inadequate WITH 0.05;
RULE 31 : IF commitment IS nothing THEN service_quality IS inadequate;
END_RULEBLOCK
END_FUNCTION_BLOCK

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Examples/jFuzzyLogic/QoS/SingletonQoSManyRules.fld
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@ -1,126 +0,0 @@
clarity commitment influence service_quality No1.1 No1.2 No1.3 No1.4 No1.5 No1.6 No1.7 No1.8 No1.9 No1.10 No1.11 No1.12 No1.13 No1.14 No1.15 No1.16 No1.17 No1.18 No1.19 No1.20 No1.21 No1.22 No1.23 No1.24 No1.25 No1.26 No1.27 No1.28 No1.29 No1.30 No1.31
-4.0 -4.0 -4.0 1.1350055490606169E-5 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.0307028436619925E-18 1.6728965228231954E-10 1.522997974471263E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 1.3383172182585565E-10 1.8633265860393355E-7 3.3546262790251185E-4
-4.0 -4.0 -1.4 2.8374822803468476E-5 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 5.101630518104158E-10 3.807494936178157E-9 1.522997974471263E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 5.101630518104158E-10 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
-4.0 -4.0 1.2000000000000002 4.5399294067593406E-5 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
-4.0 -4.0 3.8 4.5399294067593406E-5 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
-4.0 -4.0 6.4 4.5399294067593406E-5 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.091991897885052E-9 3.807494936178157E-9 1.2754076295260396E-10 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.4906612688314684E-6 7.453306344157342E-7 6.377038147630198E-11 3.3546262790251185E-4
-4.0 -1.4 -4.0 2.2548294354937814E-4 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 2.0074758273878343E-10 6.252150377482016E-6 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.37531109885139957
-4.0 -1.4 -1.4 0.0020598335186958615 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 1.2754076295260396E-9 3.072772372416832E-7 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.377038147630198E-10 1.8756451132446044E-5 6.252150377482016E-6 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 5.101630518104158E-10 1.2448885537581848E-4 3.088715408236772E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 5.101630518104158E-10 9.959108430065478E-5 0.0028067381417066863 0.37531109885139957
-4.0 -1.4 1.2000000000000002 0.005139214397237144 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 2.9272096755218914E-4 7.721788520591929E-4 3.088715408236772E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 2.9272096755218914E-4 0.011226952566826745 0.0028067381417066863 0.37531109885139957
-4.0 -1.4 3.8 0.008208916419029324 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.0012354861632947088 7.721788520591929E-4 7.318024188804729E-5 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.02245390513365349 0.011226952566826745 3.659012094402364E-5 0.37531109885139957
-4.0 -1.4 6.4 0.008208916419029324 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.1260751887410076E-5 1.8756451132446044E-5 1.2754076295260396E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.0012354861632947088 1.2448885537581826E-4 1.2754076295260396E-10 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.02245390513365349 9.959108430065462E-5 6.377038147630198E-11 0.37531109885139957
-4.0 1.2000000000000002 -4.0 0.002634446252362264 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.48675225595997157
-4.0 1.2000000000000002 -1.4 0.35088075845480393 1.2754076295260396E-9 3.9836433720261914E-4 4.3908145132828363E-4 1.2754076295260396E-9 3.286505781921608E-4 0.006547561265642199 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.377038147630198E-10 1.4938662645098218E-4 0.019789869908361474 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 5.101630518104158E-10 1.2448885537581848E-4 0.03753110988513996 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 5.101630518104158E-10 9.959108430065478E-5 0.01876555494256998 0.48675225595997157
-4.0 1.2000000000000002 1.2000000000000002 0.621781148508704 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 7.318024188804728E-4 0.013095122531284397 0.006547561265642199 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.659012094402364E-4 0.05936960972508442 0.019789869908361474 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 2.9272096755218914E-4 0.10738933955268481 0.04867522559599716 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 2.9272096755218914E-4 0.08591147164214785 0.02433761279799858 0.48675225595997157
-4.0 1.2000000000000002 3.8 0.8430928661432882 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.09894934954180737 0.05936960972508442 7.318024188804729E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.19470090238398863 0.10738933955268481 7.318024188804729E-5 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.19470090238398863 0.08591147164214785 3.659012094402364E-5 0.48675225595997157
-4.0 1.2000000000000002 6.4 0.8430928661432882 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.09894934954180737 1.493866264509819E-4 1.2754076295260396E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.15012443954055976 1.2448885537581826E-4 1.2754076295260396E-10 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.15012443954055976 9.959108430065462E-5 6.377038147630198E-11 0.48675225595997157
-4.0 3.8 -4.0 1.2293215795023484 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 7.318024188804728E-4
-4.0 3.8 -1.4 4.101246484723092 1.2754076295260396E-9 3.9836433720261914E-4 0.22518665931083973 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 6.377038147630198E-10 1.4938662645098218E-4 0.03753110988513996 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 5.101630518104158E-10 1.2448885537581848E-4 0.019789869908361474 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 5.101630518104158E-10 9.959108430065478E-5 9.92054737218515E-4 7.318024188804728E-4
-4.0 3.8 1.2000000000000002 3.8455310071029714 7.318024188804728E-4 0.3436458865685914 0.29205135357598294 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.659012094402364E-4 0.12886720746322178 0.04867522559599716 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 2.9272096755218914E-4 0.049474674770903684 0.019789869908361474 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 2.9272096755218914E-4 0.00396821894887406 9.92054737218515E-4 7.318024188804728E-4
-4.0 3.8 3.8 3.719675565175792 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.0791594796334459 0.049474674770903684 7.318024188804729E-5 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.00793643789774812 0.00396821894887406 3.659012094402364E-5 7.318024188804728E-4
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1.2000000000000002 3.8 1.2000000000000002 3.8455310071029714 7.318024188804728E-4 0.3436458865685914 0.29205135357598294 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 3.659012094402364E-4 0.12886720746322178 0.04867522559599716 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 2.9272096755218914E-4 0.049474674770903684 0.019789869908361474 3.659012094402364E-4 2.1954072566414182E-4 7.318024188804729E-5 2.9272096755218914E-4 0.00396821894887406 9.92054737218515E-4 7.318024188804728E-4
1.2000000000000002 3.8 3.8 3.719675565175792 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.0791594796334459 0.049474674770903684 7.318024188804729E-5 3.659012094402364E-4 2.1954072566414182E-4 7.318024188804729E-5 0.00793643789774812 0.00396821894887406 3.659012094402364E-5 7.318024188804728E-4
1.2000000000000002 3.8 6.4 3.710765535161309 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 4.829895964611121E-4 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.0791594796334459 1.2448885537581826E-4 1.2754076295260396E-10 3.659012094402364E-4 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 9.959108430065462E-5 6.377038147630198E-11 7.318024188804728E-4
1.2000000000000002 6.4 -4.0 4.11228954428557 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.0307028436619925E-18 1.6728965228231954E-10 6.252150377482016E-6 1.2883785545774905E-18 2.0074758273878343E-10 4.6557157157830784E-8 1.0307028436619925E-18 1.3383172182585565E-10 2.3278578578915392E-8 1.2754076295260396E-9
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1.2000000000000002 6.4 1.2000000000000002 4.983136776789188 7.318024188804728E-4 0.3002488790811195 0.2251866593108396 7.318024188804728E-4 0.03704894347052823 0.018524471735264114 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 3.659012094402364E-4 9.266146224710298E-4 3.0887154082367665E-4 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
1.2000000000000002 6.4 3.8 4.979590508749082 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.001544357704118383 9.266146224710298E-4 7.318024188804729E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
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3.8 -4.0 -1.4 7.490782832730384E-5 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.2754076295260396E-9 1.0051786631510336E-8 5.025893315755168E-9 5.101630518104158E-10 3.807494936178157E-9 1.522997974471263E-9 6.377038147630198E-10 1.1179959516236013E-6 3.726653172078671E-7 5.101630518104158E-10 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
3.8 -4.0 1.2000000000000002 1.1349486049995967E-4 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 5.025893315755168E-9 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
3.8 -4.0 3.8 1.1349486049995967E-4 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 5.025893315755168E-9 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
3.8 -4.0 6.4 1.1349486049995967E-4 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 4.2088451774359307E-10 6.091991897885052E-9 3.807494936178157E-9 1.2754076295260396E-10 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 7.453306344157342E-7 6.377038147630198E-11 3.3546262790251185E-4
3.8 -1.4 -4.0 7.392344994752629E-4 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 2.208223410126618E-10 4.6557157157830784E-8 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.2883785545774905E-18 2.0074758273878343E-10 6.252150377482016E-6 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.37531109885139957
3.8 -1.4 -1.4 0.006775229122923378 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 1.2754076295260396E-9 3.072772372416832E-7 1.536386186208416E-7 8.417690354871861E-10 1.536386186208416E-7 4.6557157157830784E-8 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 6.377038147630198E-10 1.8756451132446044E-5 6.252150377482016E-6 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181348 5.101630518104158E-10 1.2448885537581848E-4 3.088715408236772E-4 6.377038147630198E-10 1.4938662645098218E-4 0.005613476283413373 5.101630518104158E-10 9.959108430065478E-5 0.0028067381417066863 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.01351187678830349 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 7.318024188804728E-4 0.0020385521694362696 0.0010192760847181348 2.9272096755218914E-4 7.721788520591929E-4 3.088715408236772E-4 3.659012094402364E-4 0.016840428850240115 0.005613476283413373 2.9272096755218914E-4 0.011226952566826745 0.0028067381417066863 0.37531109885139957
3.8 -1.4 3.8 0.020412554615169148 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 0.0030887154082367718 0.0020385521694362696 2.4149479823055604E-4 0.0012354861632947088 7.721788520591929E-4 7.318024188804729E-5 0.028067381417066863 0.016840428850240115 7.318024188804729E-5 0.02245390513365349 0.011226952566826745 3.659012094402364E-5 0.37531109885139957
3.8 -1.4 6.4 0.020412554615169148 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 1.8756451132446044E-5 1.2754076295260396E-10 0.0030887154082367718 3.286505781921602E-4 4.2088451774359307E-10 0.0012354861632947088 1.2448885537581826E-4 1.2754076295260396E-10 0.028067381417066863 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 9.959108430065462E-5 6.377038147630198E-11 0.37531109885139957
3.8 1.2000000000000002 -4.0 0.002634446252362264 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.48675225595997157
3.8 1.2000000000000002 -1.4 0.5547566834143304 1.2754076295260396E-9 3.9836433720261914E-4 4.3908145132828363E-4 1.2754076295260396E-9 3.286505781921608E-4 0.006547561265642199 8.417690354871861E-10 1.643252890960804E-4 0.00198410947443703 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 6.377038147630198E-10 1.4938662645098218E-4 0.019789869908361474 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 5.101630518104158E-10 1.2448885537581848E-4 0.03753110988513996 6.377038147630198E-10 1.4938662645098218E-4 0.03753110988513996 5.101630518104158E-10 9.959108430065478E-5 0.01876555494256998 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 0.9883705619108492 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 7.318024188804728E-4 0.013095122531284397 0.006547561265642199 4.829895964611121E-4 0.006547561265642199 0.00198410947443703 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 3.659012094402364E-4 0.05936960972508442 0.019789869908361474 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 2.9272096755218914E-4 0.10738933955268481 0.04867522559599716 3.659012094402364E-4 0.12886720746322178 0.04867522559599716 2.9272096755218914E-4 0.08591147164214785 0.02433761279799858 0.48675225595997157
3.8 1.2000000000000002 3.8 1.324902536229299 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 0.013095122531284397 0.006547561265642199 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.09894934954180737 0.05936960972508442 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.19470090238398863 0.10738933955268481 7.318024188804729E-5 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 0.19470090238398863 0.08591147164214785 3.659012094402364E-5 0.48675225595997157
3.8 1.2000000000000002 6.4 1.176412276151891 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 0.013095122531284397 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 1.493866264509819E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.15012443954055976 1.2448885537581826E-4 1.2754076295260396E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 9.959108430065462E-5 6.377038147630198E-11 0.48675225595997157
3.8 3.8 -4.0 1.2293215795023484 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 7.318024188804728E-4
3.8 3.8 -1.4 4.0896556316926524 1.2754076295260396E-9 3.9836433720261914E-4 0.22518665931083973 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 8.417690354871861E-10 1.643252890960804E-4 0.03753110988513996 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 6.377038147630198E-10 1.4938662645098218E-4 0.03753110988513996 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 5.101630518104158E-10 1.2448885537581848E-4 0.019789869908361474 6.377038147630198E-10 1.4938662645098218E-4 0.00198410947443703 5.101630518104158E-10 9.959108430065478E-5 9.92054737218515E-4 7.318024188804728E-4
3.8 3.8 1.2000000000000002 3.8334793859766254 7.318024188804728E-4 0.3436458865685914 0.29205135357598294 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 4.829895964611121E-4 0.14175392820954397 0.04867522559599716 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 3.659012094402364E-4 0.12886720746322178 0.04867522559599716 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 2.9272096755218914E-4 0.049474674770903684 0.019789869908361474 3.659012094402364E-4 0.005952328423311089 0.00198410947443703 2.9272096755218914E-4 0.00396821894887406 9.92054737218515E-4 7.318024188804728E-4
3.8 3.8 3.8 3.7121709328085735 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.3212564889335813 0.14175392820954397 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.0791594796334459 0.049474674770903684 7.318024188804729E-5 0.009920547372185149 0.005952328423311089 7.318024188804729E-5 0.00793643789774812 0.00396821894887406 3.659012094402364E-5 7.318024188804728E-4
3.8 3.8 6.4 3.7010848629000774 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.2477053252419236 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.0791594796334459 1.2448885537581826E-4 1.2754076295260396E-10 0.009920547372185149 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 9.959108430065462E-5 6.377038147630198E-11 7.318024188804728E-4
3.8 6.4 -4.0 4.11228954428557 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.0307028436619925E-18 1.6728965228231954E-10 6.252150377482016E-6 1.2883785545774905E-18 2.0074758273878343E-10 4.6557157157830784E-8 1.0307028436619925E-18 1.3383172182585565E-10 2.3278578578915392E-8 1.2754076295260396E-9
3.8 6.4 -1.4 4.939192494247536 1.2754076295260396E-9 3.9836433720261914E-4 0.2251866593108396 1.2754076295260396E-9 3.286505781921608E-4 0.018524471735264114 8.417690354871861E-10 1.643252890960804E-4 0.005613476283413368 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181328 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181328 6.377038147630198E-10 1.4938662645098218E-4 3.0887154082367665E-4 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 5.101630518104158E-10 1.5630375943705038E-5 6.252150377482016E-6 6.377038147630198E-10 1.3967147147349234E-7 4.6557157157830784E-8 5.101630518104158E-10 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 4.8547171232203254 7.318024188804728E-4 0.3002488790811195 0.2251866593108396 7.318024188804728E-4 0.03704894347052823 0.018524471735264114 4.829895964611121E-4 0.018524471735264114 0.005613476283413368 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 3.659012094402364E-4 9.266146224710298E-4 3.0887154082367665E-4 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
3.8 6.4 3.8 4.775382042848198 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 0.03704894347052823 0.018524471735264114 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.001544357704118383 9.266146224710298E-4 7.318024188804729E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
3.8 6.4 6.4 4.775382042848198 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 0.03704894347052823 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 1.493866264509819E-4 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 2.5008601509928064E-5 1.5630375943705038E-5 1.2754076295260396E-10 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 9.311431431566157E-8 6.377038147630198E-11 1.2754076295260396E-9
6.4 -4.0 -4.0 3.745450549002364E-5 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 4.179174631201078E-15 1.2664165549094177E-15 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 1.2883785545774905E-18 6.869204536936659E-12 2.289734845645553E-12 2.576757109154981E-18 4.416446820253236E-10 5.025893315755168E-9 1.0307028436619925E-18 1.6728965228231954E-10 1.522997974471263E-9 1.2883785545774905E-18 2.0074758273878343E-10 3.726653172078671E-7 1.0307028436619925E-18 1.3383172182585565E-10 1.8633265860393355E-7 3.3546262790251185E-4
6.4 -4.0 -1.4 7.490782832730384E-5 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.2754076295260396E-9 1.0051786631510336E-8 5.025893315755168E-9 5.101630518104158E-10 3.807494936178157E-9 1.522997974471263E-9 6.377038147630198E-10 1.1179959516236013E-6 3.726653172078671E-7 5.101630518104158E-10 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 1.1349486049995967E-4 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 5.025893315755168E-9 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
6.4 -4.0 3.8 1.1349486049995967E-4 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 5.025893315755168E-9 6.091991897885052E-9 3.807494936178157E-9 1.522997974471263E-9 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 7.453306344157342E-7 1.8633265860393355E-7 3.3546262790251185E-4
6.4 -4.0 6.4 1.1349486049995967E-4 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 6.869204536936659E-12 2.289734845645553E-12 1.522997974471263E-8 1.0051786631510336E-8 4.2088451774359307E-10 6.091991897885052E-9 3.807494936178157E-9 1.2754076295260396E-10 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 7.453306344157342E-7 6.377038147630198E-11 3.3546262790251185E-4
6.4 -1.4 -4.0 7.392344994752629E-4 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 2.208223410126618E-10 4.6557157157830784E-8 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.2883785545774905E-18 2.0074758273878343E-10 6.252150377482016E-6 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.37531109885139957
6.4 -1.4 -1.4 0.006775229122923378 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 1.2754076295260396E-9 3.072772372416832E-7 1.536386186208416E-7 8.417690354871861E-10 1.536386186208416E-7 4.6557157157830784E-8 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 6.377038147630198E-10 1.8756451132446044E-5 6.252150377482016E-6 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181348 5.101630518104158E-10 1.2448885537581848E-4 3.088715408236772E-4 6.377038147630198E-10 1.4938662645098218E-4 0.005613476283413373 5.101630518104158E-10 9.959108430065478E-5 0.0028067381417066863 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.01351187678830349 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 7.318024188804728E-4 0.0020385521694362696 0.0010192760847181348 2.9272096755218914E-4 7.721788520591929E-4 3.088715408236772E-4 3.659012094402364E-4 0.016840428850240115 0.005613476283413373 2.9272096755218914E-4 0.011226952566826745 0.0028067381417066863 0.37531109885139957
6.4 -1.4 3.8 0.020412554615169148 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 1.8756451132446044E-5 6.252150377482016E-6 0.0030887154082367718 0.0020385521694362696 2.4149479823055604E-4 0.0012354861632947088 7.721788520591929E-4 7.318024188804729E-5 0.028067381417066863 0.016840428850240115 7.318024188804729E-5 0.02245390513365349 0.011226952566826745 3.659012094402364E-5 0.37531109885139957
6.4 -1.4 6.4 0.020412554615169148 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 1.8756451132446044E-5 1.2754076295260396E-10 0.0030887154082367718 3.286505781921602E-4 4.2088451774359307E-10 0.0012354861632947088 1.2448885537581826E-4 1.2754076295260396E-10 0.028067381417066863 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 9.959108430065462E-5 6.377038147630198E-11 0.37531109885139957
6.4 1.2000000000000002 -4.0 0.002634446252362264 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 0.48675225595997157
6.4 1.2000000000000002 -1.4 0.55475668341433 1.2754076295260396E-9 3.9836433720261914E-4 4.3908145132828363E-4 1.2754076295260396E-9 3.286505781921608E-4 0.006547561265642199 8.417690354871861E-10 1.643252890960804E-4 0.00198410947443703 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 6.377038147630198E-10 1.4938662645098218E-4 0.019789869908361474 1.2754076295260396E-9 3.286505781921608E-4 0.1238526626209618 5.101630518104158E-10 1.2448885537581848E-4 0.03753110988513996 6.377038147630198E-10 1.4938662645098218E-4 0.03753110988513994 5.101630518104158E-10 9.959108430065478E-5 0.01876555494256998 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 0.915974114389173 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 7.318024188804728E-4 0.013095122531284397 0.006547561265642199 4.829895964611121E-4 0.006547561265642199 0.00198410947443703 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 3.659012094402364E-4 0.05936960972508442 0.019789869908361474 7.318024188804728E-4 0.2477053252419236 0.1238526626209618 2.9272096755218914E-4 0.10738933955268481 0.04867522559599716 3.659012094402364E-4 0.1125933296554198 0.03753110988513994 2.9272096755218914E-4 0.08591147164214785 0.02433761279799858 0.48675225595997157
6.4 1.2000000000000002 3.8 1.176412276151891 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 0.013095122531284397 0.006547561265642199 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.09894934954180737 0.05936960972508442 7.318024188804729E-5 0.37531109885139935 0.2477053252419236 2.4149479823055604E-4 0.19470090238398863 0.10738933955268481 7.318024188804729E-5 0.18765554942569967 0.1125933296554198 7.318024188804729E-5 0.19470090238398863 0.08591147164214785 3.659012094402364E-5 0.48675225595997157
6.4 1.2000000000000002 6.4 1.176412276151891 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 0.013095122531284397 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 1.493866264509819E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.15012443954055976 1.2448885537581826E-4 1.2754076295260396E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 9.959108430065462E-5 6.377038147630198E-11 0.48675225595997157
6.4 3.8 -4.0 1.2293215795023484 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.0307028436619925E-18 1.6728965228231954E-10 3.354626279025119E-5 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 1.3383172182585565E-10 1.6773131395125595E-5 7.318024188804728E-4
6.4 3.8 -1.4 4.0896556316926524 1.2754076295260396E-9 3.9836433720261914E-4 0.22518665931083973 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 8.417690354871861E-10 1.643252890960804E-4 0.03753110988513994 1.2754076295260396E-9 3.286505781921608E-4 0.12385266262096187 1.2754076295260396E-9 3.286505781921608E-4 0.1238526626209618 6.377038147630198E-10 1.4938662645098218E-4 0.03753110988513996 1.2754076295260396E-9 3.286505781921608E-4 0.06530657069759287 5.101630518104158E-10 1.2448885537581848E-4 0.019789869908361474 6.377038147630198E-10 1.4938662645098218E-4 0.00198410947443703 5.101630518104158E-10 9.959108430065478E-5 9.92054737218515E-4 7.318024188804728E-4
6.4 3.8 1.2000000000000002 3.8334793859766254 7.318024188804728E-4 0.3436458865685914 0.29205135357598294 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 4.829895964611121E-4 0.1238526626209618 0.03753110988513994 7.318024188804728E-4 0.28350785641908793 0.16062824446679064 7.318024188804728E-4 0.2477053252419236 0.1238526626209618 3.659012094402364E-4 0.12886720746322178 0.04867522559599716 7.318024188804728E-4 0.13061314139518573 0.06530657069759287 2.9272096755218914E-4 0.049474674770903684 0.019789869908361474 3.659012094402364E-4 0.005952328423311089 0.00198410947443703 2.9272096755218914E-4 0.00396821894887406 9.92054737218515E-4 7.318024188804728E-4
6.4 3.8 3.8 3.7121709328085735 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.2477053252419236 0.1238526626209618 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.37531109885139935 0.2477053252419236 2.4149479823055604E-4 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.0791594796334459 0.049474674770903684 7.318024188804729E-5 0.009920547372185149 0.005952328423311089 7.318024188804729E-5 0.00793643789774812 0.00396821894887406 3.659012094402364E-5 7.318024188804728E-4
6.4 3.8 6.4 3.7010848629000774 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.2477053252419236 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.0791594796334459 1.2448885537581826E-4 1.2754076295260396E-10 0.009920547372185149 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 9.959108430065462E-5 6.377038147630198E-11 7.318024188804728E-4
6.4 6.4 -4.0 4.11228954428557 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 2.208223410126618E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.0307028436619925E-18 1.6728965228231954E-10 6.252150377482016E-6 1.2883785545774905E-18 2.0074758273878343E-10 4.6557157157830784E-8 1.0307028436619925E-18 1.3383172182585565E-10 2.3278578578915392E-8 1.2754076295260396E-9
6.4 6.4 -1.4 4.939192494247536 1.2754076295260396E-9 3.9836433720261914E-4 0.2251866593108396 1.2754076295260396E-9 3.286505781921608E-4 0.018524471735264114 8.417690354871861E-10 1.643252890960804E-4 0.005613476283413368 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181328 1.2754076295260396E-9 3.286505781921608E-4 0.0010192760847181328 6.377038147630198E-10 1.4938662645098218E-4 3.0887154082367665E-4 1.2754076295260396E-9 4.1264192491381304E-5 2.0632096245690652E-5 5.101630518104158E-10 1.5630375943705038E-5 6.252150377482016E-6 6.377038147630198E-10 1.3967147147349234E-7 4.6557157157830784E-8 5.101630518104158E-10 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 4.8547171232203254 7.318024188804728E-4 0.3002488790811195 0.2251866593108396 7.318024188804728E-4 0.03704894347052823 0.018524471735264114 4.829895964611121E-4 0.018524471735264114 0.005613476283413368 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 3.659012094402364E-4 9.266146224710298E-4 3.0887154082367665E-4 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
6.4 6.4 3.8 4.775382042848198 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 0.03704894347052823 0.018524471735264114 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.001544357704118383 9.266146224710298E-4 7.318024188804729E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.5008601509928064E-5 1.5630375943705038E-5 6.252150377482016E-6 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 9.311431431566157E-8 2.3278578578915392E-8 1.2754076295260396E-9
6.4 6.4 6.4 4.775382042848198 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 0.03704894347052823 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 1.493866264509819E-4 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 2.5008601509928064E-5 1.5630375943705038E-5 1.2754076295260396E-10 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 9.311431431566157E-8 6.377038147630198E-11 1.2754076295260396E-9

42
Examples/jFuzzyLogic/bathTub.fcl
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FUNCTION_BLOCK Example
VAR_INPUT
temp: REAL;
END_VAR
VAR_OUTPUT
hot_valve: REAL;
cold_valve: REAL;
END_VAR
FUZZIFY temp
TERM hot := (1,0)(70,0)(90,1);
TERM cold := (1,1)(50,1)(80,0);
RANGE := (1.0 .. 90.0); // Added range for temp
END_FUZZIFY
DEFUZZIFY hot_valve
TERM open := 100;
TERM closed := 0;
METHOD : COGS;
DEFAULT := 0;
RANGE := (0.0 .. 100.0); // Added range for hot_valve
END_DEFUZZIFY
DEFUZZIFY cold_valve
TERM open := 100;
TERM closed := 0;
METHOD : COGS;
DEFAULT := 0;
RANGE := (0.0 .. 100.0); // Added range for cold_valve
END_DEFUZZIFY
RULEBLOCK Control
AND: MIN;
ACCU: MAX;
RULE 1: IF temp IS cold THEN hot_valve IS open;
RULE 2: IF temp IS hot THEN cold_valve IS open;
END_RULEBLOCK
END_FUNCTION_BLOCK

6
Examples/jFuzzyLogic/bathTub.fld
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temp hot_valve cold_valve Control.1 Control.2
1.0 100.0 0.0 1.0 0.0
18.8 100.0 0.0 1.0 0.0
36.6 100.0 0.0 1.0 0.0
54.4 100.0 0.0 0.8533333333333334 0.0
72.2 100.0 100.0 0.2599999999999999 0.11000000000000014

51
Examples/jFuzzyLogic/block.fcl
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FUNCTION_BLOCK ip // Block definition (there may be more than one block per file)
VAR_OUTPUT // Define input variables
force : REAL;
END_VAR
VAR_INPUT // Define output variable
x : REAL;
dxdt : REAL;
END_VAR
FUZZIFY x
TERM ok := (-0.1,0) (0,1) (0.1,0) ;
TERM left := (-2,1) (0,0);
TERM right := ( 0, 0) (2,1) ;
RANGE := (-2.0 .. 2.0) WITH 0.1; // Added range for x
END_FUZZIFY
FUZZIFY dxdt
TERM ok := TRIAN -1 0 1 ;
TERM left := (-1,1) (0,0);
TERM right := (0,0) (1,1) ;
TERM tooRight := (3,0) (4,1);
TERM tooLeft := (-4,1) (-3,0);
RANGE := (-4.0 .. 4.0) WITH 0.1; // Added range for dxdt
END_FUZZIFY
DEFUZZIFY force
TERM zero := TRIAN -1 0 1 ;
TERM left := (-101,0) (-100,1) (-99,0);
TERM right := (99,0) (100,1) (101,0);
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (-101.0 .. 101.0); // Added range for force
END_DEFUZZIFY
RULEBLOCK No1
AND : MIN; // Use 'min' for 'and' (also implicit use 'max' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1 : IF x IS right AND dxdt IS NOT tooLeft THEN force IS left ;
RULE 2 : IF x IS left AND dxdt IS NOT tooRight THEN force IS right ;
RULE 3 : IF x IS ok AND dxdt IS right THEN force IS left ;
RULE 4 : IF x IS ok AND dxdt IS left THEN force IS right ;
RULE 5 : IF x IS ok AND dxdt IS ok THEN force IS zero ;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/block.fld
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x dxdt force No1.1 No1.2 No1.3 No1.4 No1.5
-2.0 -4.0 99.99816161616144 0.0 1.0 0.0 0.0 0.0
-2.0 -2.4 99.99816161616144 0.0 1.0 0.0 0.0 0.0
-2.0 -0.7999999999999998 99.99816161616144 0.0 1.0 0.0 0.0 0.0
-2.0 0.7999999999999998 99.99816161616144 0.0 1.0 0.0 0.0 0.0
-2.0 2.4000000000000004 99.99816161616144 0.0 1.0 0.0 0.0 0.0
-1.2 -4.0 99.99816161616141 0.0 0.6 0.0 0.0 0.0
-1.2 -2.4 99.99816161616141 0.0 0.6 0.0 0.0 0.0
-1.2 -0.7999999999999998 99.99816161616141 0.0 0.6 0.0 0.0 0.0
-1.2 0.7999999999999998 99.99816161616141 0.0 0.6 0.0 0.0 0.0
-1.2 2.4000000000000004 99.99816161616141 0.0 0.6 0.0 0.0 0.0
-0.3999999999999999 -4.0 99.9981616161611 0.0 0.19999999999999996 0.0 0.0 0.0
-0.3999999999999999 -2.4 99.9981616161611 0.0 0.19999999999999996 0.0 0.0 0.0
-0.3999999999999999 -0.7999999999999998 99.9981616161611 0.0 0.19999999999999996 0.0 0.0 0.0
-0.3999999999999999 0.7999999999999998 99.9981616161611 0.0 0.19999999999999996 0.0 0.0 0.0
-0.3999999999999999 2.4000000000000004 99.9981616161611 0.0 0.19999999999999996 0.0 0.0 0.0
0.3999999999999999 -4.0 0.0 0.0 0.0 0.0 0.0 0.0
0.3999999999999999 -2.4 -99.99816161616162 0.19999999999999996 0.0 0.0 0.0 0.0
0.3999999999999999 -0.7999999999999998 -99.99816161616162 0.19999999999999996 0.0 0.0 0.0 0.0
0.3999999999999999 0.7999999999999998 -99.99816161616162 0.19999999999999996 0.0 0.0 0.0 0.0
0.3999999999999999 2.4000000000000004 -99.99816161616162 0.19999999999999996 0.0 0.0 0.0 0.0
1.2000000000000002 -4.0 0.0 0.0 0.0 0.0 0.0 0.0
1.2000000000000002 -2.4 -99.99816161616161 0.6000000000000001 0.0 0.0 0.0 0.0
1.2000000000000002 -0.7999999999999998 -99.99816161616161 0.6000000000000001 0.0 0.0 0.0 0.0
1.2000000000000002 0.7999999999999998 -99.99816161616161 0.6000000000000001 0.0 0.0 0.0 0.0
1.2000000000000002 2.4000000000000004 -99.99816161616161 0.6000000000000001 0.0 0.0 0.0 0.0

59
Examples/jFuzzyLogic/ip2.fcl
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FUNCTION_BLOCK ipPhi0 // control block fOR the angle
VAR_OUTPUT
fORce : REAL;
END_VAR
VAR_INPUT
phi : REAL;
dphidt : REAL;
END_VAR
FUZZIFY phi
TERM Z := TRIAN -5 0 5;
TERM PS := TRIAN 0 5 10;
TERM NS := TRIAN -10 -5 0;
TERM PB := (5,0) (10,1) (60,1) (70,0);
TERM NB := (-70,0) (-60,1) (-10, 1) (-5,0);
RANGE := (-70.0 .. 70.0); // Added range for phi
RANGE := (-70.0 .. 70.0); // Added range for phi
END_FUZZIFY
FUZZIFY dphidt
TERM Z := TRIAN -8 0 8;
TERM PS := TRIAN 0 8 200 ;
TERM NS := TRIAN -200 -8 0 ;
TERM PB := (8,0) (200,1) (500,1) ;
TERM NB := (-500,1) (-200,1) (-8,0);
RANGE := (-500.0 .. 500.0); // Added range for dphidt
END_FUZZIFY
DEFUZZIFY fORce
TERM Z := TRIAN -20 0 20;
TERM PS := TRIAN 30 50 70;
TERM NS := TRIAN -70 -50 -30;
TERM PB := TRIAN 190 200 210;
TERM NB := TRIAN -210 -200 -190;
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (-210.0 .. 210.0); // Added range for fORce
END_DEFUZZIFY
RULEBLOCK No1
AND : MIN;
ACT : MIN;
ACCU : MAX;
RULE 1 : IF phi IS PS AND (dphidt IS PS OR dphidt IS Z) THEN fORce IS PS;
RULE 2 : IF phi IS PS AND dphidt IS PB THEN fORce IS PB ;
RULE 3 : IF phi IS NS AND (dphidt IS NS OR dphidt IS Z) THEN fORce IS NS;
RULE 4 : IF phi IS NS AND dphidt IS NB THEN fORce IS NB ;
RULE 5 : IF phi IS PB AND (dphidt IS NOT NB) AND (dphidt IS NOT NS) THEN fORce IS PB ;
RULE 6 : IF phi IS NB AND (dphidt IS NOT PB) AND (dphidt IS NOT PS) THEN fORce IS NB ;
RULE 7 : IF phi IS Z AND dphidt IS Z THEN fORce IS Z;
END_RULEBLOCK
END_FUNCTION_BLOCK

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Examples/jFuzzyLogic/ip2.fld
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phi dphidt fORce No1.1 No1.2 No1.3 No1.4 No1.5 No1.6 No1.7
-70.0 -500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
-70.0 -300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
-70.0 -100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
-70.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
-70.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
-42.0 -500.0 -199.9979032258064 0.0 0.0 0.0 0.0 0.0 1.0 0.0
-42.0 -300.0 -199.9979032258064 0.0 0.0 0.0 0.0 0.0 1.0 0.0
-42.0 -100.0 -199.9979032258064 0.0 0.0 0.0 0.0 0.0 1.0 0.0
-42.0 100.0 -199.99670186293636 0.0 0.0 0.0 0.0 0.0 0.47916666666666674 0.0
-42.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
-14.0 -500.0 -199.9979032258064 0.0 0.0 0.0 0.0 0.0 1.0 0.0
-14.0 -300.0 -199.9979032258064 0.0 0.0 0.0 0.0 0.0 1.0 0.0
-14.0 -100.0 -199.9979032258064 0.0 0.0 0.0 0.0 0.0 1.0 0.0
-14.0 100.0 -199.99670186293636 0.0 0.0 0.0 0.0 0.0 0.47916666666666674 0.0
-14.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
14.0 -500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
14.0 -300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
14.0 -100.0 199.99670186293625 0.0 0.0 0.0 0.0 0.47916666666666663 0.0 0.0
14.0 100.0 199.99790322580637 0.0 0.0 0.0 0.0 1.0 0.0 0.0
14.0 300.0 199.99790322580637 0.0 0.0 0.0 0.0 1.0 0.0 0.0
42.0 -500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
42.0 -300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
42.0 -100.0 199.99670186293625 0.0 0.0 0.0 0.0 0.47916666666666663 0.0 0.0
42.0 100.0 199.99790322580637 0.0 0.0 0.0 0.0 1.0 0.0 0.0
42.0 300.0 199.99790322580637 0.0 0.0 0.0 0.0 1.0 0.0 0.0

124
Examples/jFuzzyLogic/qualify.fcl
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FUNCTION_BLOCK qualify
VAR_INPUT
scoring : REAL; // Account owner's scoring
sel : REAL; // Social economic level
occupation_type: REAL; // enum_occupation_type.rid
city: REAL; // City (actually Zip code)
scoring_partner : REAL; // Partner's scoring
END_VAR
VAR_OUTPUT
qualify : REAL; // Qualify
credLimMul : REAL; // Credit limit multiplier
END_VAR
// Scoring : [0,1000]
FUZZIFY scoring
TERM veryHigh := TRAPE 850 900 1000 1000;
TERM high := TRAPE 650 700 900 1000;
TERM midHigh := TRAPE 500 550 700 900;
TERM midLow := TRAPE 380 420 550 700;
TERM low := TRAPE 0 0 420 550;
RANGE := (0.0 .. 1000.0); // Added range for scoring
END_FUZZIFY
// Social economic level: {A,B,C1,C2,C3,D1,D2,E}
FUZZIFY sel
TERM a := SIGM 0.01 4500; // Use sigm
TERM b := TRAPE 2000 3000 5000 10000;
TERM c1 := TRAPE 1300 2000 3000 5000;
TERM c2 := TRAPE 900 1300 2000 3000;
TERM c3 := TRAPE 600 900 1300 2000;
TERM d1 := TRAPE 400 600 900 1300;
TERM low := TRAPE -100 0 600 900;
RANGE := (-100.0 .. 10000.0); // Added range for sel
END_FUZZIFY
// City (zip code < 1900 => BsAs)
FUZZIFY city
TERM bsas := TRAPE 0 0 1899 1900;
TERM other := TRAPE 1900 1900 10000 10000;
RANGE := (0.0 .. 10000.0); // Added range for city
END_FUZZIFY
// Occupation type rid
// Good ones: { Hired State Employee, Hired Private company Employee, Contractor State Employee}
// Rids: { 9, 10 ,11 }
FUZZIFY occupation_type
TERM good := TRAPE 8.5 9 11 11.5;
TERM other_1 := TRAPE 0 0 8 8.5;
TERM other_2 := TRAPE 11.5 12 20 20;
RANGE := (0.0 .. 20.0); // Added range for occupation_type
END_FUZZIFY
// Partner's Scoring : [0,1000]
FUZZIFY scoring_partner
TERM midLow := TRAPE 0 420 550 700;
TERM low := TRIAN 0 0 420;
TERM noPartner := TRAPE -100 -50 -1 0; // No partner
TERM fakeRange := (0,0) (1000,0); // Fake term: it's always 0. Used to simulate 'range' (0..1000)
RANGE := (-100.0 .. 1000.0); // Added range for scoring_partner
END_FUZZIFY
// Qualify : {accept,manual_accept,manual_reject,reject}
DEFUZZIFY qualify
METHOD : COG;
DEFAULT := 0;
TERM accept := TRIAN 3 4 5; // Center in 4
TERM manual_accept := TRIAN 2 3 4; // Center in 3
TERM manual_reject := TRIAN 1 2 3; // Center in 2
TERM reject := TRIAN 0 1 2; // Center in 1
RANGE := (0.0 .. 5.0) WITH 0.1; // Added range for qualify
END_DEFUZZIFY
// Credit limit multiplier
DEFUZZIFY credLimMul
METHOD : COG;
DEFAULT := 0;
TERM veryHigh := TRIAN 3 3.5 4;
TERM high := TRIAN 2 3 3.5;
TERM midHigh := TRIAN 1 2 3;
TERM midLow := TRIAN 0 0.5 1;
TERM low := TRIAN -2 -1 0;
RANGE := (-2.0 .. 4.0) WITH 0.01; // Added range for credLimMul
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : MIN;
ACT : MIN;
// Scoring rules
RULE 1 : IF scoring IS veryHigh THEN qualify IS accept , credLimMul IS veryHigh;
RULE 2 : IF scoring IS high THEN qualify IS accept , credLimMul IS high;
RULE 3 : IF scoring IS midHigh THEN qualify IS manual_accept , credLimMul IS midHigh;
RULE 4 : IF scoring IS midLow THEN qualify IS manual_reject , credLimMul IS midLow;
RULE 5 : IF scoring IS low THEN qualify IS reject , credLimMul IS low;
// Social economic level
RULE 6 : IF sel IS a OR sel IS b THEN qualify IS accept , credLimMul IS veryHigh;
RULE 7 : IF sel IS c1 THEN qualify IS accept , credLimMul IS high;
RULE 8 : IF sel IS c2 THEN qualify IS manual_accept , credLimMul IS midHigh;
RULE 9 : IF sel IS c3 THEN qualify IS manual_reject , credLimMul IS midLow;
RULE 10 : IF sel IS d1 OR sel IS low THEN qualify IS reject , credLimMul IS low;
// Ocupation type
RULE 11 : IF NOT occupation_type IS good THEN qualify IS reject , credLimMul IS low;
// City
RULE 12 : IF city IS other AND (scoring IS midLow OR scoring IS low) THEN qualify IS reject , credLimMul IS low;
// Partner's scoring
RULE 13 : IF scoring_partner IS midLow THEN qualify IS manual_reject , credLimMul IS midLow;
RULE 14 : IF scoring_partner IS low THEN qualify IS reject , credLimMul IS low;
END_RULEBLOCK
END_FUNCTION_BLOCK

3126
Examples/jFuzzyLogic/qualify.fld
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Examples/jFuzzyLogic/qualify_optimized.fcl
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FUNCTION_BLOCK qualify
VAR_INPUT
city : REAL;
occupation_type : REAL;
scoring : REAL;
scoring_partner : REAL;
sel : REAL;
END_VAR
VAR_OUTPUT
credLimMul : REAL;
qualify : REAL;
END_VAR
FUZZIFY city
TERM bsas := TRAPE 0.0 0.0 1899.0 1900.0;
TERM other := TRAPE 1900.0 1900.0 10000.0 10000.0;
RANGE := (0.0 .. 10000.0); // Added range for city
END_FUZZIFY
FUZZIFY occupation_type
TERM good := TRAPE 8.5 9.0 11.0 11.5;
TERM other_1 := TRAPE 0.0 0.0 8.0 8.5;
TERM other_2 := TRAPE 11.5 12.0 20.0 20.0;
RANGE := (0.0 .. 20.0); // Added range for occupation_type
END_FUZZIFY
FUZZIFY scoring
TERM high := TRAPE 648.9499999999999 889.7 889.8499999999999 904.0999999999996;
TERM low := TRAPE 0.0 0.0 384.25000000000006 541.1999999999998;
TERM midHigh := TRAPE 342.8000000000001 438.40000000000003 522.0000000000001 999.9999999999998;
TERM midLow := TRAPE 52.31999999999999 399.52 646.9599999999996 720.48;
TERM veryHigh := TRAPE 893.65 914.8500000000001 1000.0 1000.0;
RANGE := (0.0 .. 1000.0); // Added range for scoring
END_FUZZIFY
FUZZIFY scoring_partner
TERM fakeRange := (0.0, 0.0) (1000.0, 0.0) ;
TERM low := TRIAN 0.0 0.0 420.0;
TERM midLow := TRAPE 0.0 420.0 550.0 700.0;
TERM noPartner := TRAPE -100.0 -50.0 -1.0 0.0;
RANGE := (-100.0 .. 1000.0); // Added range for scoring_partner
END_FUZZIFY
FUZZIFY sel
TERM a := SIGM 0.01 4500.0;
TERM b := TRAPE 2000.0 3000.0 5000.0 10000.0;
TERM c1 := TRAPE 1300.0 2000.0 3000.0 5000.0;
TERM c2 := TRAPE 900.0 1300.0 2000.0 3000.0;
TERM c3 := TRAPE 600.0 900.0 1300.0 2000.0;
TERM d1 := TRAPE 400.0 600.0 900.0 1300.0;
TERM low := TRAPE -100.0 0.0 600.0 900.0;
RANGE := (-100.0 .. 10000.0); // Added range for sel
END_FUZZIFY
DEFUZZIFY credLimMul
TERM high := TRIAN 2.7050000000000005 2.7059999999999995 3.7085000000000004;
TERM low := TRIAN -1.6839999999999997 -1.5280000000000005 -0.40800000000000014;
TERM midHigh := TRIAN 0.5799999999999998 2.188 3.5240000000000005;
TERM midLow := TRIAN -0.5480000000000002 -0.12000000000000002 0.8239999999999994;
TERM veryHigh := TRIAN 3.519 3.9860000000000007 4.0;
METHOD : COG;
DEFAULT := 0.0;
RANGE := (-2.0 .. 4.0) WITH 0.01;
END_DEFUZZIFY
DEFUZZIFY qualify
TERM accept := TRIAN 3.0 4.0 5.0;
TERM manual_accept := TRIAN 2.0 3.0 4.0;
TERM manual_reject := TRIAN 1.0 2.0 3.0;
TERM reject := TRIAN 0.0 1.0 2.0;
METHOD : COG;
DEFAULT := 0.0;
RANGE := (0.0 .. 5.0) WITH 0.1;
END_DEFUZZIFY
RULEBLOCK No1
ACT : MIN;
ACCU : MAX;
AND : MIN;
RULE 1 : IF scoring IS veryHigh THEN qualify IS accept , credLimMul IS veryHigh WITH 0.9999999999999999;
RULE 2 : IF scoring IS high THEN qualify IS accept , credLimMul IS high WITH 0.6299999999999997;
RULE 3 : IF scoring IS midHigh THEN qualify IS manual_accept , credLimMul IS midHigh WITH 0.2799999999999998;
RULE 4 : IF scoring IS midLow THEN qualify IS manual_reject , credLimMul IS midLow WITH 0.3299999999999999;
RULE 5 : IF scoring IS low THEN qualify IS reject , credLimMul IS low;
RULE 6 : IF (sel IS a) OR (sel IS b) THEN qualify IS accept , credLimMul IS veryHigh WITH 0.43999999999999984;
RULE 7 : IF sel IS c1 THEN qualify IS accept , credLimMul IS high;
RULE 8 : IF sel IS c2 THEN qualify IS manual_accept , credLimMul IS midHigh WITH 0.6699999999999998;
RULE 9 : IF sel IS c3 THEN qualify IS manual_reject , credLimMul IS midLow WITH 0.7199999999999999;
RULE 10 : IF (sel IS d1) OR (sel IS low) THEN qualify IS reject , credLimMul IS low WITH 0.16999999999999982;
RULE 11 : IF NOT occupation_type IS good THEN qualify IS reject , credLimMul IS low;
RULE 12 : IF (city IS other) AND ((scoring IS midLow) OR (scoring IS low)) THEN qualify IS reject , credLimMul IS low;
RULE 13 : IF scoring_partner IS midLow THEN qualify IS manual_reject , credLimMul IS midLow;
RULE 14 : IF scoring_partner IS low THEN qualify IS reject , credLimMul IS low;
END_RULEBLOCK
END_FUNCTION_BLOCK

3126
Examples/jFuzzyLogic/qualify_optimized.fld
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Examples/jFuzzyLogic/qurat.fcl
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FUNCTION_BLOCK Libcfuz // Block definition (there may be more than one block per file)
VAR_INPUT // Define input variables
Age : REAL;
Lactation : REAL;
END_VAR
VAR_OUTPUT // Define output variable
rISk : REAL;
END_VAR
FUZZIFY Age // Fuzzify input variable 'Age': {'young', 'mature' , 'old'}
TERM young := (0, 1)(10,1) (30, 1) (40, 0) ;
TERM mature:= (30, 0) (40,1) (60,1) (70,0);
TERM old := (60, 0) (70, 1) (90,1);
RANGE := (0.0 .. 90.0); // Added range for Age
END_FUZZIFY
FUZZIFY Lactation // Fuzzify input variable 'Lactation': { 'low', 'medium','full' }
TERM low := (0, 1) (2,1) (6, 1) (10,0);
TERM medium := (6,0) (10,1) (16,1) (20,0);
TERM full := (16,0) (20,1) (24,0);
RANGE := (0.0 .. 24.0); // Added range for Lactation
END_FUZZIFY
DEFUZZIFY rISk // Defzzzify output variable 'rISk' : {'verylow',low', 'medium', 'high','veryhigh' }
TERM verylow := (0,1) (5,1) (10,0);
TERM low := (5,0) (10,1) (25,1) (30,0);
TERM medium := (25,0) (30,1) (45,1) (50,0);
TERM high := (45,0) (50,1) (75,1) (80,0);
TERM veryhigh := (75,0) (80,1) (95,1) (100,0);
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value IS 0 (if no rule activates defuzzifier)
RANGE := (0.0 .. 100.0); // Added range for rISk
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX; // Use 'max' accumulation method
AND : MIN; // Use 'min' for 'and' (also implicit use 'max' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
RULE 1 : IF Age IS old AND Lactation IS low THEN rISk IS veryhigh;
RULE 2 : IF Age IS old THEN rISk IS high;
RULE 3 : IF Age IS old AND Lactation IS full THEN rISk IS low;
/* In thIS it picks Rule2 When given the in put it should pick Rule3 with the given input */
RULE 4 : IF Age IS young THEN rISk IS low;
RULE 5 : IF Age IS mature THEN rISk IS veryhigh;
RULE 6 : IF Lactation IS medium THEN rISk IS medium;
RULE 7 : IF Lactation IS full THEN rISk IS low;
RULE 8 : IF Lactation IS low THEN rISk IS veryhigh;
RULE 9 : IF Age IS young AND Lactation IS medium THEN rISk IS low;
RULE 10 : IF Age IS young AND Lactation IS full THEN rISk IS verylow;
RULE 11 : IF Age IS mature AND Lactation IS low THEN rISk IS veryhigh;
RULE 12 : IF Age IS mature AND Lactation IS medium THEN rISk IS high;
RULE 13 : IF Age IS mature AND Lactation IS full THEN rISk IS low ;
RULE 14: IF Age IS old AND Lactation IS low THEN rISk IS high;
RULE 15: IF Age IS old AND Lactation IS medium THEN rISk IS medium;
RULE 16: IF Age IS old AND Lactation IS full THEN rISk IS low;
RULE 17 : IF Age IS young AND Lactation IS low THEN rISk IS medium;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/qurat.fld
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Lactation Age rISk No1.1 No1.2 No1.3 No1.4 No1.5 No1.6 No1.7 No1.8 No1.9 No1.10 No1.11 No1.12 No1.13 No1.14 No1.15 No1.16 No1.17
0.0 0.0 47.92553191489446 0.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
0.0 18.0 47.92553191489446 0.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
0.0 36.0 59.758064516129764 0.0 0.0 0.0 0.4 0.6 0.0 0.0 1.0 0.0 0.0 0.6 0.0 0.0 0.0 0.0 0.0 0.4
0.0 54.0 87.49999999999996 0.0 0.0 0.0 0.0 1.0 0.0 0.0 1.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 72.0 72.37179487179526 1.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0
4.800000000000001 0.0 47.92553191489446 0.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
4.800000000000001 18.0 47.92553191489446 0.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
4.800000000000001 36.0 59.758064516129764 0.0 0.0 0.0 0.4 0.6 0.0 0.0 1.0 0.0 0.0 0.6 0.0 0.0 0.0 0.0 0.0 0.4
4.800000000000001 54.0 87.49999999999996 0.0 0.0 0.0 0.0 1.0 0.0 0.0 1.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
4.800000000000001 72.0 72.37179487179526 1.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0
9.600000000000001 0.0 30.8165195460276 0.0 0.0 0.0 1.0 0.0 0.9000000000000004 0.0 0.09999999999999964 0.9000000000000004 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.09999999999999964
9.600000000000001 18.0 30.8165195460276 0.0 0.0 0.0 1.0 0.0 0.9000000000000004 0.0 0.09999999999999964 0.9000000000000004 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.09999999999999964
9.600000000000001 36.0 53.569210292812286 0.0 0.0 0.0 0.4 0.6 0.9000000000000004 0.0 0.09999999999999964 0.4 0.0 0.09999999999999964 0.6 0.0 0.0 0.0 0.0 0.09999999999999964
9.600000000000001 54.0 63.11119873817127 0.0 0.0 0.0 0.0 1.0 0.9000000000000004 0.0 0.09999999999999964 0.0 0.0 0.09999999999999964 0.9000000000000004 0.0 0.0 0.0 0.0 0.0
9.600000000000001 72.0 54.61382113821117 0.09999999999999964 1.0 0.0 0.0 0.0 0.9000000000000004 0.0 0.09999999999999964 0.0 0.0 0.0 0.0 0.0 0.09999999999999964 0.9000000000000004 0.0 0.0
14.399999999999999 0.0 27.499999999999943 0.0 0.0 0.0 1.0 0.0 1.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
14.399999999999999 18.0 27.499999999999943 0.0 0.0 0.0 1.0 0.0 1.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
14.399999999999999 36.0 53.13903281519825 0.0 0.0 0.0 0.4 0.6 1.0 0.0 0.0 0.4 0.0 0.0 0.6 0.0 0.0 0.0 0.0 0.0
14.399999999999999 54.0 62.50000000000055 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
14.399999999999999 72.0 52.62820512820545 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0
19.200000000000003 0.0 17.97728674203499 0.0 0.0 0.0 1.0 0.0 0.1999999999999993 0.8000000000000007 0.0 0.1999999999999993 0.8000000000000007 0.0 0.0 0.0 0.0 0.0 0.0 0.0
19.200000000000003 18.0 17.97728674203499 0.0 0.0 0.0 1.0 0.0 0.1999999999999993 0.8000000000000007 0.0 0.1999999999999993 0.8000000000000007 0.0 0.0 0.0 0.0 0.0 0.0 0.0
19.200000000000003 36.0 46.59456991830936 0.0 0.0 0.0 0.4 0.6 0.1999999999999993 0.8000000000000007 0.0 0.1999999999999993 0.4 0.0 0.1999999999999993 0.6 0.0 0.0 0.0 0.0
19.200000000000003 54.0 54.934782608697176 0.0 0.0 0.0 0.0 1.0 0.1999999999999993 0.8000000000000007 0.0 0.0 0.0 0.0 0.1999999999999993 0.8000000000000007 0.0 0.0 0.0 0.0
19.200000000000003 72.0 45.78000000000053 0.0 1.0 0.8000000000000007 0.0 0.0 0.1999999999999993 0.8000000000000007 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1999999999999993 0.8000000000000007 0.0

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Examples/jFuzzyLogic/robot.fcl
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/*
Robot controller.
References:
"Learning Weighted LinguIStic Rules to Control an Autonomous Robot"
, M. Mucientes, R. Alcala , J. Alcala-Fdez, J. Casillas
Pablo Cingolani
pcingola@users.sourceforge.net
*/
FUNCTION_BLOCK robot
VAR_INPUT
rd : REAL; // Right dIStance
dq : REAL; // DIStance quotient
o : REAL; // Orientation. Note: I cannot use 'or' (like the reference paper) because it IS a reserved word in FCL
v : REAL; // Velocity
END_VAR
VAR_OUTPUT
la : REAL; // Linear acceleration
av : REAL; // Angular velocity
END_VAR
FUZZIFY rd
TERM L := TRIAN 0 0 1;
TERM M := TRIAN 0 1 2;
TERM H := TRIAN 1 2 3;
TERM VH := TRIAN 2 3 3;
RANGE := (0.0 .. 3.0) WITH 0.1; // Added range for rd
END_FUZZIFY
FUZZIFY dq
TERM L := TRIAN 0 0 2;
TERM H := TRIAN 0 2 2;
RANGE := (0.0 .. 2.0) WITH 0.1; // Added range for dq
END_FUZZIFY
FUZZIFY o
TERM HL := TRIAN -45 -45 -22.5;
TERM LL := TRIAN -45 -22.5 0;
TERM Z := TRIAN -22.5 0 22.5;
TERM LR := TRIAN 0 22.5 45;
TERM HR := TRIAN 22.5 45 45;
RANGE := (-45.0 .. 45.0) WITH 0.1; // Added range for o
END_FUZZIFY
FUZZIFY v
TERM L := TRIAN 0 0 1;
TERM H := TRIAN 0 1 1;
RANGE := (0.0 .. 1.0) WITH 0.1; // Added range for v
END_FUZZIFY
DEFUZZIFY la
TERM VHB := TRIAN -1 -1 -0.75;
TERM HB := TRIAN -1 -0.75 -0.5;
TERM MB := TRIAN -0.75 -0.5 -0.25;
TERM SB := TRIAN -0.5 -0.25 0;
TERM Z := TRIAN -0.25 0 0.25;
TERM SA := TRIAN 0 0.25 0.5;
TERM MA := TRIAN 0.25 0.5 0.75;
TERM HA := TRIAN 0.5 0.75 1;
TERM VHA := TRIAN 0.75 1 1;
METHOD : COG;
DEFAULT := 0;
RANGE := (-1.0 .. 1.0) WITH 0.01; // Added range for la
END_DEFUZZIFY
DEFUZZIFY av
TERM VHR := TRIAN -1 -1 -0.55;
TERM HR := TRIAN -1 -0.75 -0.5;
TERM MR := TRIAN -0.75 -0.5 -0.25;
TERM SR := TRIAN -0.5 -0.25 0;
TERM Z := TRIAN -0.25 0 0.25;
TERM SL := TRIAN 0 0.25 0.5;
TERM ML := TRIAN 0.25 0.5 0.75;
TERM HL := TRIAN 0.5 0.75 1;
TERM VHL := TRIAN 0.75 1 1;
METHOD : COG;
DEFAULT := 0;
RANGE := (-1.0 .. 1.0) WITH 0.01; // Added range for av
END_DEFUZZIFY
RULEBLOCK rules
AND : MIN; // Use 'min' for 'AND' (also implicit use 'max' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1: IF rd IS L AND dq IS L AND o IS LL AND v IS L THEN la IS VHB , av IS VHR WITH 0.4610;
RULE 2: IF rd IS L AND dq IS L AND o IS LL AND v IS H THEN la IS VHB , av IS VHR WITH 0.4896;
RULE 3: IF rd IS L AND dq IS L AND o IS Z AND v IS L THEN la IS Z , av IS MR WITH 0.6664;
RULE 4: IF rd IS L AND dq IS L AND o IS Z AND v IS H THEN la IS HB , av IS SR WITH 0.5435;
RULE 5: IF rd IS L AND dq IS H AND o IS LL AND v IS L THEN la IS MA , av IS HR WITH 0.7276;
RULE 6: IF rd IS L AND dq IS H AND o IS Z AND v IS L THEN la IS MA , av IS HL WITH 0.4845;
RULE 7: IF rd IS L AND dq IS H AND o IS Z AND v IS H THEN la IS HB , av IS ML WITH 0.5023;
RULE 8: IF rd IS L AND dq IS H AND o IS LR AND v IS H THEN la IS VHB , av IS VHL WITH 0.7363;
RULE 9: IF rd IS L AND dq IS H AND o IS HR AND v IS L THEN la IS VHB , av IS VHL WITH 0.9441;
RULE 10: IF rd IS M AND dq IS L AND o IS Z AND v IS H THEN la IS SA , av IS HR WITH 0.3402;
RULE 11: IF rd IS M AND dq IS L AND o IS LR AND v IS H THEN la IS Z , av IS VHL WITH 0.4244;
RULE 12: IF rd IS M AND dq IS L AND o IS HR AND v IS L THEN la IS SA , av IS HL WITH 0.5472;
RULE 13: IF rd IS M AND dq IS L AND o IS HR AND v IS H THEN la IS MB , av IS VHL WITH 0.4369;
RULE 14: IF rd IS M AND dq IS H AND o IS HL AND v IS L THEN la IS Z , av IS VHR WITH 0.1770;
RULE 15: IF rd IS M AND dq IS H AND o IS HL AND v IS H THEN la IS VHB , av IS VHR WITH 0.4526;
RULE 16: IF rd IS M AND dq IS H AND o IS LL AND v IS H THEN la IS SA , av IS VHR WITH 0.2548;
RULE 17: IF rd IS M AND dq IS H AND o IS Z AND v IS L THEN la IS HA , av IS Z WITH 0.2084;
RULE 18: IF rd IS M AND dq IS H AND o IS LR AND v IS L THEN la IS HA , av IS VHL WITH 0.6242;
RULE 19: IF rd IS M AND dq IS H AND o IS LR AND v IS H THEN la IS SA , av IS VHL WITH 0.3779;
RULE 20: IF rd IS M AND dq IS H AND o IS HR AND v IS L THEN la IS Z , av IS VHL WITH 0.6931;
RULE 21: IF rd IS M AND dq IS H AND o IS HR AND v IS H THEN la IS VHB , av IS VHL WITH 0.7580;
RULE 22: IF rd IS H AND dq IS L AND o IS Z AND v IS L THEN la IS HA , av IS VHR WITH 0.5758;
RULE 23: IF rd IS H AND dq IS L AND o IS LR AND v IS H THEN la IS SA , av IS MR WITH 0.2513;
RULE 24: IF rd IS H AND dq IS L AND o IS HR AND v IS L THEN la IS HA , av IS VHL WITH 0.5471;
RULE 25: IF rd IS H AND dq IS L AND o IS HR AND v IS H THEN la IS SA , av IS HL WITH 0.5595;
RULE 26: IF rd IS H AND dq IS H AND o IS HL AND v IS L THEN la IS VHB , av IS VHR WITH 0.9999;
RULE 27: IF rd IS H AND dq IS H AND o IS HL AND v IS H THEN la IS VHB , av IS VHR WITH 0.9563;
RULE 28: IF rd IS H AND dq IS H AND o IS LL AND v IS L THEN la IS HA , av IS VHR WITH 0.9506;
RULE 29: IF rd IS H AND dq IS H AND o IS Z AND v IS L THEN la IS HA , av IS VHR WITH 0.4529;
RULE 30: IF rd IS H AND dq IS H AND o IS Z AND v IS H THEN la IS SA , av IS VHR WITH 0.2210;
RULE 31: IF rd IS H AND dq IS H AND o IS LR AND v IS L THEN la IS HA , av IS MR WITH 0.3612;
RULE 32: IF rd IS H AND dq IS H AND o IS LR AND v IS H THEN la IS SA , av IS MR WITH 0.2122;
RULE 33: IF rd IS H AND dq IS H AND o IS HR AND v IS L THEN la IS HA , av IS HL WITH 0.7878;
RULE 34: IF rd IS H AND dq IS H AND o IS HR AND v IS H THEN la IS SA , av IS VHL WITH 0.3859;
RULE 35: IF rd IS VH AND dq IS L AND o IS LR AND v IS L THEN la IS HA , av IS VHR WITH 0.5530;
RULE 36: IF rd IS VH AND dq IS L AND o IS HR AND v IS L THEN la IS HA , av IS HR WITH 0.4223;
RULE 37: IF rd IS VH AND dq IS L AND o IS HR AND v IS H THEN la IS SA , av IS HR WITH 0.3854;
RULE 38: IF rd IS VH AND dq IS H AND o IS LL AND v IS L THEN la IS HA , av IS VHR WITH 0.0936;
RULE 39: IF rd IS VH AND dq IS H AND o IS LR AND v IS L THEN la IS HA , av IS VHR WITH 0.7325;
RULE 40: IF rd IS VH AND dq IS H AND o IS LR AND v IS H THEN la IS SA , av IS VHR WITH 0.5631;
RULE 41: IF rd IS VH AND dq IS H AND o IS HR AND v IS L THEN la IS HA , av IS HR WITH 0.5146;
END_RULEBLOCK
END_FUNCTION_BLOCK

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Examples/jFuzzyLogic/robot.fld
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rd v dq o la av rules.1 rules.2 rules.3 rules.4 rules.5 rules.6 rules.7 rules.8 rules.9 rules.10 rules.11 rules.12 rules.13 rules.14 rules.15 rules.16 rules.17 rules.18 rules.19 rules.20 rules.21 rules.22 rules.23 rules.24 rules.25 rules.26 rules.27 rules.28 rules.29 rules.30 rules.31 rules.32 rules.33 rules.34 rules.35 rules.36 rules.37 rules.38 rules.39 rules.40 rules.41
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2.4000000000000004 0.6 0.8 -45.0 -0.8984258511091379 -0.8984258511091379 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.39996000000000004 0.38252 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.6 0.8 -27.0 0.37840042866676843 -0.8974166904498947 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19125999999999996 0.38024 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.03744 0.0 0.0 0.0
2.4000000000000004 0.6 0.8 -9.0 0.6423492477677656 -0.8974166904498947 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.23032 0.0 0.0 0.0 0.0 0.0 0.38024 0.18116000000000002 0.0884 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.03744 0.0 0.0 0.0
2.4000000000000004 0.6 0.8 9.0 0.527892065311855 -0.6900173210481826 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.23032 0.10052000000000001 0.0 0.0 0.0 0.0 0.0 0.18116000000000002 0.0884 0.14448000000000003 0.08488000000000001 0.0 0.0 0.22120000000000004 0.0 0.0 0.0 0.29300000000000004 0.22524000000000002 0.0
2.4000000000000004 0.6 0.8 27.0 0.527892065311855 -0.1774627783618012 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.15077999999999991 0.10942000000000002 0.1119 0.0 0.0 0.0 0.0 0.0 0.14448000000000003 0.08488000000000001 0.15756 0.07718000000000001 0.22120000000000004 0.08446000000000001 0.07708000000000001 0.0 0.29300000000000004 0.22524000000000002 0.10292
2.4000000000000004 0.6 1.2 -45.0 -0.9065801223048938 -0.9065801223048938 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.39996000000000004 0.5737799999999997 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.6 1.2 -27.0 0.37840042866676843 -0.8974166904498947 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19125999999999996 0.38024 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.03744 0.0 0.0 0.0
2.4000000000000004 0.6 1.2 -9.0 0.6066262783109148 -0.8974166904498947 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.23032 0.0 0.0 0.0 0.0 0.0 0.38024 0.18116000000000002 0.1325999999999999 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.03744 0.0 0.0 0.0
2.4000000000000004 0.6 1.2 9.0 0.527892065311855 -0.6900173210481826 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.23032 0.10052000000000001 0.0 0.0 0.0 0.0 0.0 0.18116000000000002 0.1325999999999999 0.14448000000000003 0.08488000000000001 0.0 0.0 0.22120000000000004 0.0 0.0 0.0 0.29300000000000004 0.22524000000000002 0.0
2.4000000000000004 0.6 1.2 27.0 0.5278920653118551 -0.17326966380306769 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.10052000000000001 0.10942000000000002 0.1119 0.0 0.0 0.0 0.0 0.0 0.14448000000000003 0.12731999999999993 0.15756 0.07718000000000001 0.22120000000000004 0.08446000000000001 0.07708000000000001 0.0 0.29300000000000004 0.22524000000000022 0.10292
2.4000000000000004 0.6 1.6 -45.0 -0.9065801223048938 -0.9065801223048938 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.39996000000000004 0.5737799999999997 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.6 1.6 -27.0 0.37840042866676843 -0.8974166904498947 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19125999999999996 0.38024 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.03744 0.0 0.0 0.0
2.4000000000000004 0.6 1.6 -9.0 0.6066262783109148 -0.8974166904498947 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.0 0.0 0.0 0.0 0.0 0.38024 0.18116000000000002 0.1325999999999999 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.03744 0.0 0.0 0.0
2.4000000000000004 0.6 1.6 9.0 0.527892065311855 -0.6900173210481826 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.05025999999999999 0.0 0.0 0.0 0.0 0.0 0.18116000000000002 0.1325999999999999 0.14448000000000003 0.08488000000000001 0.0 0.0 0.11059999999999999 0.0 0.0 0.0 0.29300000000000004 0.22524000000000002 0.0
2.4000000000000004 0.6 1.6 27.0 0.5278920653118551 -0.17326966380306769 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.05025999999999999 0.10941999999999998 0.11189999999999997 0.0 0.0 0.0 0.0 0.0 0.14448000000000003 0.12731999999999993 0.15756 0.07718000000000001 0.11059999999999999 0.08445999999999998 0.07707999999999998 0.0 0.29300000000000004 0.22524000000000022 0.10292
2.4000000000000004 0.8 0.0 -45.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 0.0 -27.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 0.0 -9.0 0.7500000000000027 -0.8825595107012113 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 0.0 9.0 0.5160081230919774 -0.6390191465160894 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.10052000000000001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11059999999999999 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 0.0 27.0 0.46419525112699656 -0.12074897545137622 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.15077999999999991 0.10941999999999998 0.1119 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11059999999999999 0.08445999999999998 0.07708000000000001 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 0.4 -45.0 -0.8875387092120623 -0.8875387092120623 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19126 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 0.4 -27.0 0.1859700763652909 -0.8875387092120623 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19125999999999996 0.19011999999999996 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 0.4 -9.0 0.6496193566897628 -0.8869719854964562 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.0 0.0 0.0 0.0 0.0 0.19011999999999996 0.09057999999999998 0.0442 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 0.4 9.0 0.5304558687624641 -0.6601596489727047 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.10052000000000001 0.0 0.0 0.0 0.0 0.0 0.09057999999999998 0.0442 0.07223999999999998 0.042440000000000005 0.0 0.0 0.11059999999999999 0.0 0.0 0.0 0.14649999999999996 0.11262000000000001 0.0
2.4000000000000004 0.8 0.4 27.0 0.5050361062340039 -0.0619947374874516 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.15077999999999991 0.10941999999999998 0.1119 0.0 0.0 0.0 0.0 0.0 0.07223999999999998 0.042440000000000005 0.15755999999999995 0.07718000000000001 0.11059999999999999 0.08445999999999998 0.07708000000000001 0.0 0.14649999999999996 0.11262000000000001 0.10291999999999997
2.4000000000000004 0.8 0.8 -45.0 -0.8975337689420841 -0.8975337689420841 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.38252 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 0.8 -27.0 0.1859700763652909 -0.8875387092120623 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19125999999999996 0.19011999999999996 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 0.8 -9.0 0.5853207607421803 -0.8869719854964562 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.0 0.0 0.0 0.0 0.0 0.19011999999999996 0.09057999999999998 0.0884 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 0.8 9.0 0.4522487296178078 -0.6993846794854975 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.10052000000000001 0.0 0.0 0.0 0.0 0.0 0.09057999999999998 0.0884 0.07223999999999998 0.08488000000000001 0.0 0.0 0.11059999999999999 0.0 0.0 0.0 0.14649999999999996 0.22524000000000002 0.0
2.4000000000000004 0.8 0.8 27.0 0.46034270550829315 -0.1305666426199114 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.15077999999999991 0.10941999999999998 0.1119 0.0 0.0 0.0 0.0 0.0 0.07223999999999998 0.08488000000000001 0.15755999999999995 0.07718000000000001 0.11059999999999999 0.08445999999999998 0.07708000000000001 0.0 0.14649999999999996 0.22524000000000002 0.10291999999999997
2.4000000000000004 0.8 1.2 -45.0 -0.9065801223048938 -0.9065801223048938 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.5737799999999997 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 1.2 -27.0 0.1859700763652909 -0.8875387092120623 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19125999999999996 0.19011999999999996 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 1.2 -9.0 0.5407655106992174 -0.8869719854964562 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.0 0.0 0.0 0.0 0.0 0.19011999999999996 0.09057999999999998 0.1325999999999999 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 1.2 9.0 0.4522487296178078 -0.6993846794854975 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.10052000000000001 0.0 0.0 0.0 0.0 0.0 0.09057999999999998 0.1325999999999999 0.07223999999999998 0.08488000000000001 0.0 0.0 0.11059999999999999 0.0 0.0 0.0 0.14649999999999996 0.22524000000000002 0.0
2.4000000000000004 0.8 1.2 27.0 0.4603427055082932 -0.11055364331008116 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.10052000000000001 0.10941999999999998 0.1119 0.0 0.0 0.0 0.0 0.0 0.07223999999999998 0.12731999999999993 0.15755999999999995 0.07718000000000001 0.11059999999999999 0.08445999999999998 0.07708000000000001 0.0 0.14649999999999996 0.22524000000000022 0.10291999999999997
2.4000000000000004 0.8 1.6 -45.0 -0.9065801223048938 -0.9065801223048938 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.5737799999999997 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 1.6 -27.0 0.1859700763652909 -0.8875387092120623 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19125999999999996 0.19011999999999996 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 1.6 -9.0 0.5407655106992174 -0.8869719854964562 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.0 0.0 0.0 0.0 0.0 0.19011999999999996 0.09057999999999998 0.1325999999999999 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 1.6 9.0 0.4522487296178078 -0.7149595303630241 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.05025999999999999 0.0 0.0 0.0 0.0 0.0 0.09057999999999998 0.1325999999999999 0.07223999999999998 0.08488000000000001 0.0 0.0 0.11059999999999999 0.0 0.0 0.0 0.14649999999999996 0.22524000000000002 0.0
2.4000000000000004 0.8 1.6 27.0 0.4603427055082932 -0.11055364331008116 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.05025999999999999 0.10941999999999998 0.11189999999999997 0.0 0.0 0.0 0.0 0.0 0.07223999999999998 0.12731999999999993 0.15755999999999995 0.07718000000000001 0.11059999999999999 0.08445999999999998 0.07707999999999998 0.0 0.14649999999999996 0.22524000000000022 0.10291999999999997

121
Examples/jFuzzyLogic/robot_optimized.fcl
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@ -1,121 +0,0 @@
FUNCTION_BLOCK robot
VAR_INPUT
dq : REAL;
o : REAL;
rd : REAL;
v : REAL;
END_VAR
VAR_OUTPUT
av : REAL;
la : REAL;
END_VAR
FUZZIFY dq
TERM H := TRIAN 0.0 2.0 2.0;
TERM L := TRIAN 0.0 0.0 2.0;
RANGE := (0.0 .. 2.0) WITH 0.1; // Added range for dq
END_FUZZIFY
FUZZIFY o
TERM HL := TRIAN -45.0 -45.0 -22.5;
TERM HR := TRIAN 22.5 45.0 45.0;
TERM LL := TRIAN -45.0 -22.5 0.0;
TERM LR := TRIAN 0.0 22.5 45.0;
TERM Z := TRIAN -22.5 0.0 22.5;
RANGE := (-45.0 .. 45.0) WITH 0.1; // Added range for o
END_FUZZIFY
FUZZIFY rd
TERM H := TRIAN 1.0 2.0 3.0;
TERM L := TRIAN 0.0 0.0 1.0;
TERM M := TRIAN 0.0 1.0 2.0;
TERM VH := TRIAN 2.0 3.0 3.0;
RANGE := (0.0 .. 3.0) WITH 0.1; // Added range for rd
END_FUZZIFY
FUZZIFY v
TERM H := TRIAN 0.0 1.0 1.0;
TERM L := TRIAN 0.0 0.0 1.0;
RANGE := (0.0 .. 1.0) WITH 0.1; // Added range for v
END_FUZZIFY
DEFUZZIFY av
TERM HL := TRIAN 0.5 0.75 1.0;
TERM HR := TRIAN -1.0 -0.75 -0.5;
TERM ML := TRIAN 0.25 0.5 0.75;
TERM MR := TRIAN -0.75 -0.5 -0.25;
TERM SL := TRIAN 0.0 0.25 0.5;
TERM SR := TRIAN -0.5 -0.25 0.0;
TERM VHL := TRIAN 0.75 1.0 1.0;
TERM VHR := TRIAN -1.0 -1.0 -0.75;
TERM Z := TRIAN -0.25 0.0 0.25;
METHOD : COG;
DEFAULT := 0.0;
RANGE := (-1.0 .. 1.0) WITH 0.01;
END_DEFUZZIFY
DEFUZZIFY la
TERM HA := TRIAN 0.5 0.75 1.0;
TERM HB := TRIAN -1.0 -0.75 -0.5;
TERM MA := TRIAN 0.25 0.5 0.75;
TERM MB := TRIAN -0.75 -0.5 -0.25;
TERM SA := TRIAN 0.0 0.25 0.5;
TERM SB := TRIAN -0.5 -0.25 0.0;
TERM VHA := TRIAN 0.75 1.0 1.0;
TERM VHB := TRIAN -1.0 -1.0 -0.75;
TERM Z := TRIAN -0.25 0.0 0.25;
METHOD : COG;
DEFAULT := 0.0;
RANGE := (-1.0 .. 1.0) WITH 0.01;
END_DEFUZZIFY
RULEBLOCK rules
ACT : MIN;
ACCU : MAX;
AND : MIN;
RULE 1 : IF (((rd IS L) AND (dq IS L)) AND (o IS LL)) AND (v IS L) THEN la IS VHB , av IS VHR WITH 0.461;
RULE 2 : IF (((rd IS L) AND (dq IS L)) AND (o IS LL)) AND (v IS H) THEN la IS VHB , av IS VHR WITH 0.4896;
RULE 3 : IF (((rd IS L) AND (dq IS L)) AND (o IS Z)) AND (v IS L) THEN la IS Z , av IS MR WITH 0.6664;
RULE 4 : IF (((rd IS L) AND (dq IS L)) AND (o IS Z)) AND (v IS H) THEN la IS HB , av IS SR WITH 0.5435;
RULE 5 : IF (((rd IS L) AND (dq IS H)) AND (o IS LL)) AND (v IS L) THEN la IS MA , av IS HR WITH 0.7276;
RULE 6 : IF (((rd IS L) AND (dq IS H)) AND (o IS Z)) AND (v IS L) THEN la IS MA , av IS HL WITH 0.4845;
RULE 7 : IF (((rd IS L) AND (dq IS H)) AND (o IS Z)) AND (v IS H) THEN la IS HB , av IS ML WITH 0.5023;
RULE 8 : IF (((rd IS L) AND (dq IS H)) AND (o IS LR)) AND (v IS H) THEN la IS VHB , av IS VHL WITH 0.7363;
RULE 9 : IF (((rd IS L) AND (dq IS H)) AND (o IS HR)) AND (v IS L) THEN la IS VHB , av IS VHL WITH 0.9441;
RULE 10 : IF (((rd IS M) AND (dq IS L)) AND (o IS Z)) AND (v IS H) THEN la IS SA , av IS HR WITH 0.3402;
RULE 11 : IF (((rd IS M) AND (dq IS L)) AND (o IS LR)) AND (v IS H) THEN la IS Z , av IS VHL WITH 0.4244;
RULE 12 : IF (((rd IS M) AND (dq IS L)) AND (o IS HR)) AND (v IS L) THEN la IS SA , av IS HL WITH 0.5472;
RULE 13 : IF (((rd IS M) AND (dq IS L)) AND (o IS HR)) AND (v IS H) THEN la IS MB , av IS VHL WITH 0.4369;
RULE 14 : IF (((rd IS M) AND (dq IS H)) AND (o IS HL)) AND (v IS L) THEN la IS Z , av IS VHR WITH 0.177;
RULE 15 : IF (((rd IS M) AND (dq IS H)) AND (o IS HL)) AND (v IS H) THEN la IS VHB , av IS VHR WITH 0.4526;
RULE 16 : IF (((rd IS M) AND (dq IS H)) AND (o IS LL)) AND (v IS H) THEN la IS SA , av IS VHR WITH 0.2548;
RULE 17 : IF (((rd IS M) AND (dq IS H)) AND (o IS Z)) AND (v IS L) THEN la IS HA , av IS Z WITH 0.2084;
RULE 18 : IF (((rd IS M) AND (dq IS H)) AND (o IS LR)) AND (v IS L) THEN la IS HA , av IS VHL WITH 0.6242;
RULE 19 : IF (((rd IS M) AND (dq IS H)) AND (o IS LR)) AND (v IS H) THEN la IS SA , av IS VHL WITH 0.3779;
RULE 20 : IF (((rd IS M) AND (dq IS H)) AND (o IS HR)) AND (v IS L) THEN la IS Z , av IS VHL WITH 0.6931;
RULE 21 : IF (((rd IS M) AND (dq IS H)) AND (o IS HR)) AND (v IS H) THEN la IS VHB , av IS VHL WITH 0.758;
RULE 22 : IF (((rd IS H) AND (dq IS L)) AND (o IS Z)) AND (v IS L) THEN la IS HA , av IS VHR WITH 0.5758;
RULE 23 : IF (((rd IS H) AND (dq IS L)) AND (o IS LR)) AND (v IS H) THEN la IS SA , av IS MR WITH 0.2513;
RULE 24 : IF (((rd IS H) AND (dq IS L)) AND (o IS HR)) AND (v IS L) THEN la IS HA , av IS VHL WITH 0.5471;
RULE 25 : IF (((rd IS H) AND (dq IS L)) AND (o IS HR)) AND (v IS H) THEN la IS SA , av IS HL WITH 0.5595;
RULE 26 : IF (((rd IS H) AND (dq IS H)) AND (o IS HL)) AND (v IS L) THEN la IS VHB , av IS VHR WITH 0.9999;
RULE 27 : IF (((rd IS H) AND (dq IS H)) AND (o IS HL)) AND (v IS H) THEN la IS VHB , av IS VHR WITH 0.9563;
RULE 28 : IF (((rd IS H) AND (dq IS H)) AND (o IS LL)) AND (v IS L) THEN la IS HA , av IS VHR WITH 0.9506;
RULE 29 : IF (((rd IS H) AND (dq IS H)) AND (o IS Z)) AND (v IS L) THEN la IS HA , av IS VHR WITH 0.4529;
RULE 30 : IF (((rd IS H) AND (dq IS H)) AND (o IS Z)) AND (v IS H) THEN la IS SA , av IS VHR WITH 0.221;
RULE 31 : IF (((rd IS H) AND (dq IS H)) AND (o IS LR)) AND (v IS L) THEN la IS HA , av IS MR WITH 0.3612;
RULE 32 : IF (((rd IS H) AND (dq IS H)) AND (o IS LR)) AND (v IS H) THEN la IS SA , av IS MR WITH 0.2122;
RULE 33 : IF (((rd IS H) AND (dq IS H)) AND (o IS HR)) AND (v IS L) THEN la IS HA , av IS HL WITH 0.7878;
RULE 34 : IF (((rd IS H) AND (dq IS H)) AND (o IS HR)) AND (v IS H) THEN la IS SA , av IS VHL WITH 0.3859;
RULE 35 : IF (((rd IS VH) AND (dq IS L)) AND (o IS LR)) AND (v IS L) THEN la IS HA , av IS VHR WITH 0.553;
RULE 36 : IF (((rd IS VH) AND (dq IS L)) AND (o IS HR)) AND (v IS L) THEN la IS HA , av IS HR WITH 0.4223;
RULE 37 : IF (((rd IS VH) AND (dq IS L)) AND (o IS HR)) AND (v IS H) THEN la IS SA , av IS HR WITH 0.3854;
RULE 38 : IF (((rd IS VH) AND (dq IS H)) AND (o IS LL)) AND (v IS L) THEN la IS HA , av IS VHR WITH 0.0936;
RULE 39 : IF (((rd IS VH) AND (dq IS H)) AND (o IS LR)) AND (v IS L) THEN la IS HA , av IS VHR WITH 0.7325;
RULE 40 : IF (((rd IS VH) AND (dq IS H)) AND (o IS LR)) AND (v IS H) THEN la IS SA , av IS VHR WITH 0.5631;
RULE 41 : IF (((rd IS VH) AND (dq IS H)) AND (o IS HR)) AND (v IS L) THEN la IS HA , av IS HR WITH 0.5146;
END_RULEBLOCK
END_FUNCTION_BLOCK

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Examples/jFuzzyLogic/robot_optimized.fld
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rd v dq o av la rules.1 rules.2 rules.3 rules.4 rules.5 rules.6 rules.7 rules.8 rules.9 rules.10 rules.11 rules.12 rules.13 rules.14 rules.15 rules.16 rules.17 rules.18 rules.19 rules.20 rules.21 rules.22 rules.23 rules.24 rules.25 rules.26 rules.27 rules.28 rules.29 rules.30 rules.31 rules.32 rules.33 rules.34 rules.35 rules.36 rules.37 rules.38 rules.39 rules.40 rules.41
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2.4000000000000004 0.8 1.2 -27.0 -0.8875387092120623 0.1859700763652909 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19125999999999996 0.19011999999999996 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 1.2 -9.0 -0.8869719854964562 0.5407655106992174 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.0 0.0 0.0 0.0 0.0 0.19011999999999996 0.09057999999999998 0.1325999999999999 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 1.2 9.0 -0.6993846794854975 0.4522487296178078 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.10052000000000001 0.0 0.0 0.0 0.0 0.0 0.09057999999999998 0.1325999999999999 0.07223999999999998 0.08488000000000001 0.0 0.0 0.11059999999999999 0.0 0.0 0.0 0.14649999999999996 0.22524000000000002 0.0
2.4000000000000004 0.8 1.2 27.0 -0.11055364331008116 0.4603427055082932 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.10052000000000001 0.10941999999999998 0.1119 0.0 0.0 0.0 0.0 0.0 0.07223999999999998 0.12731999999999993 0.15755999999999995 0.07718000000000001 0.11059999999999999 0.08445999999999998 0.07708000000000001 0.0 0.14649999999999996 0.22524000000000022 0.10291999999999997
2.4000000000000004 0.8 1.6 -45.0 -0.9065801223048938 -0.9065801223048938 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.5737799999999997 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2.4000000000000004 0.8 1.6 -27.0 -0.8875387092120623 0.1859700763652909 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.19997999999999996 0.19125999999999996 0.19011999999999996 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 1.6 -9.0 -0.8869719854964562 0.5407655106992174 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.0 0.0 0.0 0.0 0.0 0.19011999999999996 0.09057999999999998 0.1325999999999999 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.018719999999999997 0.0 0.0 0.0
2.4000000000000004 0.8 1.6 9.0 -0.7149595303630241 0.4522487296178078 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11515999999999997 0.05025999999999999 0.0 0.0 0.0 0.0 0.0 0.09057999999999998 0.1325999999999999 0.07223999999999998 0.08488000000000001 0.0 0.0 0.11059999999999999 0.0 0.0 0.0 0.14649999999999996 0.22524000000000002 0.0
2.4000000000000004 0.8 1.6 27.0 -0.11055364331008116 0.4603427055082932 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.05025999999999999 0.10941999999999998 0.11189999999999997 0.0 0.0 0.0 0.0 0.0 0.07223999999999998 0.12731999999999993 0.15755999999999995 0.07718000000000001 0.11059999999999999 0.08445999999999998 0.07707999999999998 0.0 0.14649999999999996 0.22524000000000022 0.10291999999999997

65
Examples/jFuzzyLogic/s2.fcl
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@ -1,65 +0,0 @@
// Block definition (there may be more than one block per file)
FUNCTION_BLOCK tipper
// Define input variables
VAR_INPUT
service : REAL;
food : REAL;
END_VAR
// Define output variable
VAR_OUTPUT
tip : REAL;
END_VAR
// Fuzzify input variable 'service'
FUZZIFY service
TERM poor := (0, 1) (4, 0) ;
TERM good := (1, 0) (4,1) (6,1) (9,0);
TERM excellent := (6, 0) (9, 1);
RANGE := (0.0 .. 9.0); // Added range for service
END_FUZZIFY
// Fuzzify input variable 'food'
FUZZIFY food
TERM rancid := (0, 1) (1, 1) (3,0) ;
TERM delicious := (7,0) (9,1);
RANGE := (0.0 .. 9.0); // Added range for food
END_FUZZIFY
// Defzzzify output variable 'tip'
DEFUZZIFY tip
TERM cheap := (0,0) (5,1) (10,0);
TERM average := (10,0) (15,1) (20,0);
TERM generous := (20,0) (25,1) (30,0);
// Use 'Center Of Gravity' defuzzification method
METHOD : COG;
// Default value is 0 (if no rule activates defuzzifier)
DEFAULT := 0;
RANGE := (0.0 .. 30.0); // Added range for tip
END_DEFUZZIFY
RULEBLOCK No1
// Use 'min' for 'and' (also implicit use 'max'
// for 'or' to fulfill DeMorgan's Law)
AND : MIN;
// Use 'min' activation method
ACT : MIN;
// Use 'max' accumulation method
ACCU : MAX;
RULE 1 : IF service IS poor OR food IS rancid
THEN tip IS cheap;
RULE 2 : IF service IS good
THEN tip IS average;
RULE 3 : IF service IS excellent AND food IS delicious
THEN tip is generous;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/s2.fld
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service food tip No1.1 No1.2 No1.3
0.0 0.0 5.000020040080156 1.0 0.0 0.0
0.0 1.8 5.000020040080156 1.0 0.0 0.0
0.0 3.6 5.000020040080156 1.0 0.0 0.0
0.0 5.3999999999999995 5.000020040080156 1.0 0.0 0.0
0.0 7.2 5.000020040080156 1.0 0.0 0.0
1.8 0.0 8.161124892286946 1.0 0.26666666666666666 0.0
1.8 1.8 8.54950607575949 0.6 0.26666666666666666 0.0
1.8 3.6 8.66927574381595 0.55 0.26666666666666666 0.0
1.8 5.3999999999999995 8.66927574381595 0.55 0.26666666666666666 0.0
1.8 7.2 8.66927574381595 0.55 0.26666666666666666 0.0
3.6 0.0 9.955181584284231 1.0 0.8666666666666667 0.0
3.6 1.8 10.390254985117041 0.6 0.8666666666666667 0.0
3.6 3.6 13.37919506577268 0.09999999999999998 0.8666666666666667 0.0
3.6 5.3999999999999995 13.37919506577268 0.09999999999999998 0.8666666666666667 0.0
3.6 7.2 13.37919506577268 0.09999999999999998 0.8666666666666667 0.0
5.3999999999999995 0.0 10.000040019919915 1.0 1.0 0.0
5.3999999999999995 1.8 10.434808979091365 0.6 1.0 0.0
5.3999999999999995 3.6 15.000000000000037 0.0 1.0 0.0
5.3999999999999995 5.3999999999999995 15.000000000000037 0.0 1.0 0.0
5.3999999999999995 7.2 15.000000000000037 0.0 1.0 0.0
7.2 0.0 9.565238207039531 1.0 0.5999999999999999 0.0
7.2 1.8 10.000007142857134 0.6 0.5999999999999999 0.0
7.2 3.6 15.000000000000021 0.0 0.5999999999999999 0.0
7.2 5.3999999999999995 15.000000000000021 0.0 0.5999999999999999 0.0
7.2 7.2 16.84460906644311 0.0 0.5999999999999999 0.10000000000000009

42
Examples/jFuzzyLogic/testDeMorgan_1.fcl
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@ -1,42 +0,0 @@
FUNCTION_BLOCK testDeMorgan1
VAR_INPUT
x1 : REAL;
x2 : REAL;
END_VAR
VAR_OUTPUT
y : REAL;
END_VAR
FUZZIFY x1
TERM value := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x1
END_FUZZIFY
FUZZIFY x2
TERM value2 := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x2
END_FUZZIFY
DEFUZZIFY y
TERM value := (0, 1) (1, 0) ;
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (0.0 .. 1.0); // Added range for y
END_DEFUZZIFY
RULEBLOCK No1
AND : MIN; // Use 'min' for 'and' (also implicit use 'max' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1 : IF NOT(x1 IS value OR x2 IS value2) THEN y IS value;
RULE 2 : IF NOT(x1 IS value) AND NOT(x2 IS value2) THEN y IS value;
RULE 3 : IF NOT(x1 IS value AND x2 IS value2) THEN y IS value;
RULE 4 : IF NOT(x1 IS value) OR NOT(x2 IS value2) THEN y IS value;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/testDeMorgan_1.fld
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@ -1,26 +0,0 @@
x1 x2 y No1.1 No1.2 No1.3 No1.4
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0

42
Examples/jFuzzyLogic/testDeMorgan_2.fcl
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@ -1,42 +0,0 @@
FUNCTION_BLOCK testDeMorgan2
VAR_INPUT
x1 : REAL;
x2 : REAL;
END_VAR
VAR_OUTPUT
y : REAL;
END_VAR
FUZZIFY x1
TERM value := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x1
END_FUZZIFY
FUZZIFY x2
TERM value2 := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x2
END_FUZZIFY
DEFUZZIFY y
TERM value := (0, 1) (1, 0) ;
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (0.0 .. 1.0); // Added range for y
END_DEFUZZIFY
RULEBLOCK No1
AND : PROD; // Use 'PROD' for 'and' (also implicit use 'ASUM' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1 : IF NOT(x1 IS value OR x2 IS value2) THEN y IS value;
RULE 2 : IF NOT(x1 IS value) AND NOT(x2 IS value2) THEN y IS value;
RULE 3 : IF NOT(x1 IS value AND x2 IS value2) THEN y IS value;
RULE 4 : IF NOT(x1 IS value) OR NOT(x2 IS value2) THEN y IS value;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/testDeMorgan_2.fld
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@ -1,26 +0,0 @@
x1 x2 y No1.1 No1.2 No1.3 No1.4
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0

42
Examples/jFuzzyLogic/testDeMorgan_3.fcl
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@ -1,42 +0,0 @@
FUNCTION_BLOCK testDeMorgan2
VAR_INPUT
x1 : REAL;
x2 : REAL;
END_VAR
VAR_OUTPUT
y : REAL;
END_VAR
FUZZIFY x1
TERM value := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x1
END_FUZZIFY
FUZZIFY x2
TERM value2 := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x2
END_FUZZIFY
DEFUZZIFY y
TERM value := (0, 1) (1, 0) ;
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (0.0 .. 1.0); // Added range for y
END_DEFUZZIFY
RULEBLOCK No1
AND : BDIF; // Use 'BDIF' for 'and' (also implicit use 'BSUM' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1 : IF NOT(x1 IS value OR x2 IS value2) THEN y IS value;
RULE 2 : IF NOT(x1 IS value) AND NOT(x2 IS value2) THEN y IS value;
RULE 3 : IF NOT(x1 IS value AND x2 IS value2) THEN y IS value;
RULE 4 : IF NOT(x1 IS value) OR NOT(x2 IS value2) THEN y IS value;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/testDeMorgan_3.fld
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@ -1,26 +0,0 @@
x1 x2 y No1.1 No1.2 No1.3 No1.4
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0

42
Examples/jFuzzyLogic/testDeMorgan_4.fcl
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@ -1,42 +0,0 @@
FUNCTION_BLOCK testDeMorgan1
VAR_INPUT
x1 : REAL;
x2 : REAL;
END_VAR
VAR_OUTPUT
y : REAL;
END_VAR
FUZZIFY x1
TERM value := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x1
END_FUZZIFY
FUZZIFY x2
TERM value2 := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x2
END_FUZZIFY
DEFUZZIFY y
TERM value := (0, 1) (1, 0) ;
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (0.0 .. 1.0); // Added range for y
END_DEFUZZIFY
RULEBLOCK No1
AND : DMIN; // Use 'DMIN' for 'and' (also implicit use 'DMAX' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1 : IF NOT(x1 IS value OR x2 IS value2) THEN y IS value;
RULE 2 : IF NOT(x1 IS value) AND NOT(x2 IS value2) THEN y IS value;
RULE 3 : IF NOT(x1 IS value AND x2 IS value2) THEN y IS value;
RULE 4 : IF NOT(x1 IS value) OR NOT(x2 IS value2) THEN y IS value;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/testDeMorgan_4.fld
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@ -1,26 +0,0 @@
x1 x2 y No1.1 No1.2 No1.3 No1.4
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0

42
Examples/jFuzzyLogic/testDeMorgan_5.fcl
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@ -1,42 +0,0 @@
FUNCTION_BLOCK testDeMorgan1
VAR_INPUT
x1 : REAL;
x2 : REAL;
END_VAR
VAR_OUTPUT
y : REAL;
END_VAR
FUZZIFY x1
TERM value := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x1
END_FUZZIFY
FUZZIFY x2
TERM value2 := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x2
END_FUZZIFY
DEFUZZIFY y
TERM value := (0, 1) (1, 0) ;
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (0.0 .. 1.0); // Added range for y
END_DEFUZZIFY
RULEBLOCK No1
AND : NIPMIN; // Use 'NIPMIN' for 'and' (also implicit use 'NIPMAX' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1 : IF NOT(x1 IS value OR x2 IS value2) THEN y IS value;
RULE 2 : IF NOT(x1 IS value) AND NOT(x2 IS value2) THEN y IS value;
RULE 3 : IF NOT(x1 IS value AND x2 IS value2) THEN y IS value;
RULE 4 : IF NOT(x1 IS value) OR NOT(x2 IS value2) THEN y IS value;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/testDeMorgan_5.fld
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@ -1,26 +0,0 @@
x1 x2 y No1.1 No1.2 No1.3 No1.4
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0

42
Examples/jFuzzyLogic/testDeMorgan_6.fcl
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@ -1,42 +0,0 @@
FUNCTION_BLOCK testDeMorgan1
VAR_INPUT
x1 : REAL;
x2 : REAL;
END_VAR
VAR_OUTPUT
y : REAL;
END_VAR
FUZZIFY x1
TERM value := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x1
END_FUZZIFY
FUZZIFY x2
TERM value2 := (0, 1) (1, 0) ;
RANGE := (0.0 .. 1.0); // Added range for x2
END_FUZZIFY
DEFUZZIFY y
TERM value := (0, 1) (1, 0) ;
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (0.0 .. 1.0); // Added range for y
END_DEFUZZIFY
RULEBLOCK No1
AND : HAMACHER; // Use 'HAMACHER' for 'and' (also implicit use 'EINSTEIN' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1 : IF NOT(x1 IS value OR x2 IS value2) THEN y IS value;
RULE 2 : IF NOT(x1 IS value) AND NOT(x2 IS value2) THEN y IS value;
RULE 3 : IF NOT(x1 IS value AND x2 IS value2) THEN y IS value;
RULE 4 : IF NOT(x1 IS value) OR NOT(x2 IS value2) THEN y IS value;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/testDeMorgan_6.fld
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@ -1,26 +0,0 @@
x1 x2 y No1.1 No1.2 No1.3 No1.4
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0

56
Examples/jFuzzyLogic/tipper.fcl
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@ -1,56 +0,0 @@
/*
Example: A tip calculation FIS (fuzzy inference system)
Calculates tip based on 'servie' and 'food'
If you want to about this example (and fuzzy logic), please
read Matlab's tutorial on fuzzy logic toolbox
http://www.mathworks.com/access/helpdesk/help/pdf_doc/fuzzy/fuzzy.pdf
Pablo Cingolani
pcingola@users.sourceforge.net
*/
FUNCTION_BLOCK tipper // Block definition (there may be more than one block per file)
VAR_INPUT // Define input variables
service : REAL;
food : REAL;
END_VAR
VAR_OUTPUT // Define output variable
tip : REAL;
END_VAR
FUZZIFY service // Fuzzify input variable 'service': {'poor', 'good' , 'excellent'}
TERM poor := (0, 1) (4, 0) ;
TERM good := (1, 0) (4,1) (6,1) (9,0);
TERM excellent := (6, 0) (9, 1);
RANGE := (0.0 .. 9.0); // Added range for service
END_FUZZIFY
FUZZIFY food // Fuzzify input variable 'food': { 'rancid', 'delicious' }
TERM rancid := (0, 1) (1, 1) (3,0) ;
TERM delicious := (7,0) (9,1);
RANGE := (0.0 .. 9.0); // Added range for food
END_FUZZIFY
DEFUZZIFY tip // Defzzzify output variable 'tip' : {'cheap', 'average', 'generous' }
TERM cheap := (0,0) (5,1) (10,0);
TERM average := (10,0) (15,1) (20,0);
TERM generous := (20,0) (25,1) (30,0);
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (0.0 .. 30.0); // Added range for tip
END_DEFUZZIFY
RULEBLOCK No1
AND : MIN; // Use 'min' for 'and' (also implicit use 'max' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1 : IF service IS poor OR food IS rancid THEN tip IS cheap;
RULE 2 : IF service IS good THEN tip IS average;
RULE 3 : IF service IS excellent AND food IS delicious THEN tip IS generous;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/tipper.fld
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service food tip No1.1 No1.2 No1.3
0.0 0.0 5.000020040080156 1.0 0.0 0.0
0.0 1.8 5.000020040080156 1.0 0.0 0.0
0.0 3.6 5.000020040080156 1.0 0.0 0.0
0.0 5.3999999999999995 5.000020040080156 1.0 0.0 0.0
0.0 7.2 5.000020040080156 1.0 0.0 0.0
1.8 0.0 8.161124892286946 1.0 0.26666666666666666 0.0
1.8 1.8 8.54950607575949 0.6 0.26666666666666666 0.0
1.8 3.6 8.66927574381595 0.55 0.26666666666666666 0.0
1.8 5.3999999999999995 8.66927574381595 0.55 0.26666666666666666 0.0
1.8 7.2 8.66927574381595 0.55 0.26666666666666666 0.0
3.6 0.0 9.955181584284231 1.0 0.8666666666666667 0.0
3.6 1.8 10.390254985117041 0.6 0.8666666666666667 0.0
3.6 3.6 13.37919506577268 0.09999999999999998 0.8666666666666667 0.0
3.6 5.3999999999999995 13.37919506577268 0.09999999999999998 0.8666666666666667 0.0
3.6 7.2 13.37919506577268 0.09999999999999998 0.8666666666666667 0.0
5.3999999999999995 0.0 10.000040019919915 1.0 1.0 0.0
5.3999999999999995 1.8 10.434808979091365 0.6 1.0 0.0
5.3999999999999995 3.6 15.000000000000037 0.0 1.0 0.0
5.3999999999999995 5.3999999999999995 15.000000000000037 0.0 1.0 0.0
5.3999999999999995 7.2 15.000000000000037 0.0 1.0 0.0
7.2 0.0 9.565238207039531 1.0 0.5999999999999999 0.0
7.2 1.8 10.000007142857134 0.6 0.5999999999999999 0.0
7.2 3.6 15.000000000000021 0.0 0.5999999999999999 0.0
7.2 5.3999999999999995 15.000000000000021 0.0 0.5999999999999999 0.0
7.2 7.2 16.84460906644311 0.0 0.5999999999999999 0.10000000000000009

56
Examples/jFuzzyLogic/tipper_with.fcl
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@ -1,56 +0,0 @@
/*
Example: A tip calculation FIS (fuzzy inference system)
Calculates tip based on 'servie' and 'food'
If you want to about this example (and fuzzy logic), please
read Matlab's tutorial on fuzzy logic toolbox
http://www.mathworks.com/access/helpdesk/help/pdf_doc/fuzzy/fuzzy.pdf
Pablo Cingolani
pcingola@users.sourceforge.net
*/
FUNCTION_BLOCK tipper // Block definition (there may be more than one block per file)
VAR_INPUT // Define input variables
service : REAL;
food : REAL;
END_VAR
VAR_OUTPUT // Define output variable
tip : REAL;
END_VAR
FUZZIFY service // Fuzzify input variable 'service': {'poor', 'good' , 'excellent'}
TERM poor := (0, 1) (4, 0) ;
TERM good := (1, 0) (4,1) (6,1) (9,0);
TERM excellent := (6, 0) (9, 1);
RANGE := (0.0 .. 9.0); // Added range for service
END_FUZZIFY
FUZZIFY food // Fuzzify input variable 'food': { 'rancid', 'delicious' }
TERM rancid := (0, 1) (1, 1) (3,0) ;
TERM delicious := (7,0) (9,1);
RANGE := (0.0 .. 9.0); // Added range for food
END_FUZZIFY
DEFUZZIFY tip // Defzzzify output variable 'tip' : {'cheap', 'average', 'generous' }
TERM cheap := (0,0) (5,1) (10,0);
TERM average := (10,0) (15,1) (20,0);
TERM generous := (20,0) (25,1) (30,0);
METHOD : COG; // Use 'Center Of Gravity' defuzzification method
DEFAULT := 0; // Default value is 0 (if no rule activates defuzzifier)
RANGE := (0.0 .. 30.0); // Added range for tip
END_DEFUZZIFY
RULEBLOCK No1
AND : MIN; // Use 'min' for 'and' (also implicit use 'max' for 'or' to fulfill DeMorgan's Law)
ACT : MIN; // Use 'min' activation method
ACCU : MAX; // Use 'max' accumulation method
RULE 1 : IF service IS poor OR food IS rancid THEN tip IS cheap WITH 0.8;
RULE 2 : IF service IS good THEN tip IS average WITH 0.5;
RULE 3 : IF service IS excellent AND food IS delicious THEN tip IS generous WITH 0.9;
END_RULEBLOCK
END_FUNCTION_BLOCK

26
Examples/jFuzzyLogic/tipper_with.fld
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@ -1,26 +0,0 @@
service food tip No1.1 No1.2 No1.3
0.0 0.0 5.0000250000000035 0.8 0.0 0.0
0.0 1.8 5.0000250000000035 0.8 0.0 0.0
0.0 3.6 5.0000250000000035 0.8 0.0 0.0
0.0 5.3999999999999995 5.0000250000000035 0.8 0.0 0.0
0.0 7.2 5.0000250000000035 0.8 0.0 0.0
1.8 0.0 7.058837543262971 0.8 0.13333333333333333 0.0
1.8 1.8 7.543607688597161 0.48 0.13333333333333333 0.0
1.8 3.6 7.661117431208402 0.44000000000000006 0.13333333333333333 0.0
1.8 5.3999999999999995 7.661117431208402 0.44000000000000006 0.13333333333333333 0.0
1.8 7.2 7.661117431208402 0.44000000000000006 0.13333333333333333 0.0
3.6 0.0 9.142384348411793 0.8 0.43333333333333335 0.0
3.6 1.8 9.819983982824105 0.48 0.43333333333333335 0.0
3.6 3.6 13.154974486118704 0.07999999999999999 0.43333333333333335 0.0
3.6 5.3999999999999995 13.154974486118704 0.07999999999999999 0.43333333333333335 0.0
3.6 7.2 13.154974486118704 0.07999999999999999 0.43333333333333335 0.0
5.3999999999999995 0.0 9.385978947368391 0.8 0.5 0.0
5.3999999999999995 1.8 10.068944038929448 0.48 0.5 0.0
5.3999999999999995 3.6 14.999999999999893 0.0 0.5 0.0
5.3999999999999995 5.3999999999999995 14.999999999999893 0.0 0.5 0.0
5.3999999999999995 7.2 14.999999999999893 0.0 0.5 0.0
7.2 0.0 8.469404081632552 0.8 0.29999999999999993 0.0
7.2 1.8 9.114238141335782 0.48 0.29999999999999993 0.0
7.2 3.6 14.999999999999948 0.0 0.29999999999999993 0.0
7.2 5.3999999999999995 14.999999999999948 0.0 0.29999999999999993 0.0
7.2 7.2 17.52089485261743 0.0 0.29999999999999993 0.09000000000000008

61
Examples/jFuzzyLogic/trust/LarsenFewRules.fcl
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@ -1,61 +0,0 @@
FUNCTION_BLOCK LarsenTrustFewRules
VAR_INPUT
WTV : REAL;
OW : REAL;
AC : REAL;
END_VAR
VAR_OUTPUT
trustworthiness : REAL;
END_VAR
FUZZIFY WTV
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for WTV
END_FUZZIFY
FUZZIFY OW
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for OW
END_FUZZIFY
FUZZIFY AC
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for AC
END_FUZZIFY
DEFUZZIFY trustworthiness
METHOD : COG;
DEFAULT := 0;
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for trustworthiness
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : PROD;
RULE 1 : IF WTV IS fully AND OW IS high AND AC IS high THEN trustworthiness IS fully;
RULE 2 : IF WTV IS satISfactory AND OW IS high THEN trustworthiness IS satISfactory;
RULE 3 : IF WTV IS nothing AND AC IS NOT low THEN trustworthiness IS nothing;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/trust/LarsenFewRules.fld
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@ -1,126 +0,0 @@
AC WTV OW trustworthiness No1.1 No1.2 No1.3
-4.0 -4.0 -4.0 0.11818521788846277 1.7108835426513894E-53 5.900090541597062E-29 3.353500927277926E-4
-4.0 -4.0 -1.4 0.11818521788846277 8.468294957935359E-45 2.920345291727967E-20 3.353500927277926E-4
-4.0 -4.0 1.2000000000000002 0.11818521793462167 4.8589318352387055E-39 1.6756334986383216E-14 3.353500927277926E-4
-4.0 -4.0 3.8 0.11818527438861667 3.231877855741909E-36 1.1145336016681301E-11 3.353500927277926E-4
-4.0 -4.0 6.4 0.11818526065974372 2.491944545793228E-36 8.593629009975718E-12 3.353500927277926E-4
-4.0 -1.4 -4.0 2.1506070932800485E-4 8.468294957935359E-45 1.6110272932682781E-22 0.3751851960038979
-4.0 -1.4 -1.4 2.150607098365393E-4 4.1915196275405104E-36 7.974040292384671E-14 0.3751851960038979
-4.0 -1.4 1.2000000000000002 2.1575008953929393E-4 2.4050069414740774E-30 4.5753387694457995E-8 0.3751851960038979
-4.0 -1.4 3.8 6.083944903499572E-4 1.5996702445350932E-27 3.0432483008403587E-5 0.3751851960038979
-4.0 -1.4 6.4 5.209621778103196E-4 1.2334282788115618E-27 2.3465014283569664E-5 0.3751851960038979
-4.0 1.2000000000000002 -4.0 1.9445568147248457E-4 4.8589318352387055E-39 5.099368797562266E-19 0.4865889687690498
-4.0 1.2000000000000002 -1.4 1.9445819024731551E-4 2.4050069414740774E-30 2.524015106845201E-10 0.4865889687690498
-4.0 1.2000000000000002 1.2000000000000002 0.0016710434696031785 1.3799430522844653E-24 1.4482274668268805E-4 0.4865889687690498
-4.0 1.2000000000000002 3.8 0.577164026339291 9.178575753047099E-22 0.09632763823049303 0.4865889687690498
-4.0 1.2000000000000002 6.4 0.4714804883570884 7.077155389805126E-22 0.07427357821433386 0.4865889687690498
-4.0 3.8 -4.0 0.055944801306810045 3.231877855741909E-36 1.8711096935856773E-18 7.315569265179297E-4
-4.0 3.8 -1.4 0.05594773365732699 1.5996702445350932E-27 9.261360220567725E-10 7.315569265179297E-4
-4.0 3.8 1.2000000000000002 1.249613600101666 9.178575753047099E-22 5.313976217982533E-4 7.315569265179297E-4
-4.0 3.8 3.8 2.99167697165677 6.105052865403128E-19 0.35345468195878016 7.315569265179297E-4
-4.0 3.8 6.4 2.9898878656220282 4.707310693283687E-19 0.27253179303401254 7.315569265179297E-4
-4.0 6.4 -4.0 1.2742182863113973 2.491944545793228E-36 7.958869386330616E-21 1.2749797779309919E-9
-4.0 6.4 -1.4 1.2774731103630723 1.2334282788115618E-27 3.939371197099807E-12 1.2749797779309919E-9
-4.0 6.4 1.2000000000000002 2.9991668530542963 7.077155389805126E-22 2.2603294069810525E-6 1.2749797779309919E-9
-4.0 6.4 3.8 2.9999906324435406 4.707310693283687E-19 0.0015034391929775704 1.2749797779309919E-9
-4.0 6.4 6.4 3.000001373992968 3.629579374926471E-19 0.0011592291739045892 1.2749797779309919E-9
-1.4 -4.0 -4.0 0.1729219238763693 8.468294957935358E-45 5.900090541597062E-29 2.0955978040084196E-4
-1.4 -4.0 -1.4 0.1729219238763693 4.1915196275405104E-36 2.920345291727967E-20 2.0955978040084196E-4
-1.4 -4.0 1.2000000000000002 0.17292192394878977 2.4050069414740774E-30 1.6756334986383216E-14 2.0955978040084196E-4
-1.4 -4.0 3.8 0.17292201249142544 1.599670244535093E-27 1.1145336016681301E-11 2.0955978040084196E-4
-1.4 -4.0 6.4 0.17292199096003727 1.2334282788115618E-27 8.593629009975718E-12 2.0955978040084196E-4
-1.4 -1.4 -4.0 3.210329871719679E-4 4.1915196275405104E-36 1.6110272932682781E-22 0.23445267793035454
-1.4 -1.4 -1.4 3.210329878971802E-4 2.0746604688815383E-27 7.974040292384671E-14 0.23445267793035454
-1.4 -1.4 1.2000000000000002 3.2201609985845305E-4 1.1903971046867634E-21 4.5753387694457995E-8 0.23445267793035454
-1.4 -1.4 3.8 8.81942728137606E-4 7.917826741826336E-19 3.0432483008403587E-5 0.23445267793035454
-1.4 -1.4 6.4 7.572634780808301E-4 6.105052865403078E-19 2.3465014283569664E-5 0.23445267793035454
-1.4 1.2000000000000002 -4.0 2.5077535291380453E-4 2.4050069414740774E-30 5.099368797562266E-19 0.30406873190723693
-1.4 1.2000000000000002 -1.4 2.507788651150245E-4 1.1903971046867634E-21 2.524015106845201E-10 0.30406873190723693
-1.4 1.2000000000000002 1.2000000000000002 0.002317738374462926 6.830251446447845E-16 1.4482274668268805E-4 0.30406873190723693
-1.4 1.2000000000000002 3.8 0.7645424405498797 4.543084601193931E-13 0.09632763823049303 0.30406873190723693
-1.4 1.2000000000000002 6.4 0.6314390511205998 3.5029525861903424E-13 0.07427357821433386 0.30406873190723693
-1.4 3.8 -4.0 0.08760995430479933 1.599670244535093E-27 1.8711096935856773E-18 4.5714884890833034E-4
-1.4 3.8 -1.4 0.08761453230590201 7.917826741826336E-19 9.261360220567725E-10 4.5714884890833034E-4
-1.4 3.8 1.2000000000000002 1.7309481614646514 4.543084601193931E-13 5.313976217982533E-4 4.5714884890833034E-4
-1.4 3.8 3.8 2.9948330988875123 3.0217947106968236E-10 0.35345468195878016 4.5714884890833034E-4
-1.4 3.8 6.4 2.9937213386441157 2.3299596036556137E-10 0.27253179303401254 4.5714884890833034E-4
-1.4 6.4 -4.0 1.3098271374500312 1.2334282788115618E-27 7.958869386330616E-21 7.967329906051629E-10
-1.4 6.4 -1.4 1.3149726846911323 6.105052865403078E-19 3.939371197099807E-12 7.967329906051629E-10
-1.4 6.4 1.2000000000000002 2.9992438212950003 3.5029525861903424E-13 2.2603294069810525E-6 7.967329906051629E-10
-1.4 6.4 3.8 2.9999907907692545 2.3299596036556137E-10 0.0015034391929775704 7.967329906051629E-10
-1.4 6.4 6.4 3.0000015758372998 1.7965190472569094E-10 0.0011592291739045892 7.967329906051629E-10
1.2000000000000002 -4.0 -4.0 0.19541886391891883 4.8589318352387055E-39 5.900090541597062E-29 1.7217543698070374E-4
1.2000000000000002 -4.0 -1.4 0.19541886391891883 2.4050069414740774E-30 2.920345291727967E-20 1.7217543698070374E-4
1.2000000000000002 -4.0 1.2000000000000002 0.1954188640063562 1.3799430522844651E-24 1.6756334986383216E-14 1.7217543698070374E-4
1.2000000000000002 -4.0 3.8 0.1954189708912178 9.178575753047099E-22 1.1145336016681301E-11 1.7217543698070374E-4
1.2000000000000002 -4.0 6.4 0.19541894489996384 7.077155389805127E-22 8.593629009975718E-12 1.7217543698070374E-4
1.2000000000000002 -1.4 -4.0 3.658255907130346E-4 2.4050069414740774E-30 1.6110272932682781E-22 0.19262757479866496
1.2000000000000002 -1.4 -1.4 3.658255915603294E-4 1.1903971046867632E-21 7.974040292384671E-14 0.19262757479866496
1.2000000000000002 -1.4 1.2000000000000002 3.669742005721377E-4 6.830251446447845E-16 4.5753387694457995E-8 0.19262757479866496
1.2000000000000002 -1.4 3.8 0.0010211482726604514 4.5430846011939316E-13 3.0432483008403587E-5 0.19262757479866496
1.2000000000000002 -1.4 6.4 8.754846634126227E-4 3.5029525861903424E-13 2.3465014283569664E-5 0.19262757479866496
1.2000000000000002 1.2000000000000002 -4.0 3.0973878205314495E-4 1.3799430522844651E-24 5.099368797562266E-19 0.24982449727784992
1.2000000000000002 1.2000000000000002 -1.4 3.097428639046232E-4 6.830251446447845E-16 2.524015106845201E-10 0.24982449727784992
1.2000000000000002 1.2000000000000002 1.2000000000000002 0.0027118045499758743 3.919056476030223E-10 1.4482274668268805E-4 0.24982449727784992
1.2000000000000002 1.2000000000000002 3.8 0.8622400664125656 2.6067276244598225E-7 0.09632763823049303 0.24982449727784992
1.2000000000000002 1.2000000000000002 6.4 0.7162527173769472 2.009921468597709E-7 0.07427357821433386 0.24982449727784992
1.2000000000000002 3.8 -4.0 0.10592800851539386 9.178575753047099E-22 1.8711096935856773E-18 3.755959405734386E-4
1.2000000000000002 3.8 -1.4 0.1059335284221209 4.5430846011939316E-13 9.261360220567725E-10 3.755959405734386E-4
1.2000000000000002 3.8 1.2000000000000002 1.9191107387019437 2.6067276244598225E-7 5.313976217982533E-4 3.755959405734386E-4
1.2000000000000002 3.8 3.8 2.9968203623618237 1.7338430690350557E-4 0.35345468195878016 3.755959405734386E-4
1.2000000000000002 3.8 6.4 2.9958183639500877 1.3368824479140015E-4 0.27253179303401254 3.755959405734386E-4
1.2000000000000002 6.4 -4.0 1.3246718366863455 7.077155389805127E-22 7.958869386330616E-21 6.546000885856803E-10
1.2000000000000002 6.4 -1.4 1.3309026891174796 3.5029525861903424E-13 3.939371197099807E-12 6.546000885856803E-10
1.2000000000000002 6.4 1.2000000000000002 3.012855370211627 2.009921468597709E-7 2.2603294069810525E-6 6.546000885856803E-10
1.2000000000000002 6.4 3.8 3.090872642180729 1.3368824479140015E-4 0.0015034391929775704 6.546000885856803E-10
1.2000000000000002 6.4 6.4 3.0865277521955643 1.0308053314970442E-4 0.0011592291739045892 6.546000885856803E-10
3.8 -4.0 -4.0 0.11823171892053663 3.231877855741909E-36 5.900090541597062E-29 3.352171355399688E-4
3.8 -4.0 -1.4 0.11823171892053663 1.5996702445350932E-27 2.920345291727967E-20 3.352171355399688E-4
3.8 -4.0 1.2000000000000002 0.11823171896671306 9.178575753047099E-22 1.6756334986383216E-14 3.352171355399688E-4
3.8 -4.0 3.8 0.1182317754421317 6.105052865403128E-19 1.1145336016681301E-11 3.352171355399688E-4
3.8 -4.0 6.4 0.11823176170804936 4.707310693283687E-19 8.593629009975718E-12 3.352171355399688E-4
3.8 -1.4 -4.0 2.158401953449656E-4 1.5996702445350932E-27 1.6110272932682781E-22 0.37503644528142743
3.8 -1.4 -1.4 2.15840195853646E-4 7.917826741826335E-19 7.974040292384671E-14 0.37503644528142743
3.8 -1.4 1.2000000000000002 2.16529773403126E-4 4.5430846011939316E-13 4.5753387694457995E-8 0.37503644528142743
3.8 -1.4 3.8 6.09286845352862E-4 3.0217947106968236E-10 3.0432483008403587E-5 0.37503644528142743
3.8 -1.4 6.4 5.218294452864596E-4 2.3299596036556137E-10 2.3465014283569664E-5 0.37503644528142743
3.8 1.2000000000000002 -4.0 1.9344334783557006E-4 9.178575753047099E-22 5.099368797562266E-19 0.48639604948166454
3.8 1.2000000000000002 -1.4 1.9344585727809589E-4 4.5430846011939316E-13 2.524015106845201E-10 0.48639604948166454
3.8 1.2000000000000002 1.2000000000000002 0.001670845937881152 2.606727624459823E-7 1.4482274668268805E-4 0.48639604948166454
3.8 1.2000000000000002 3.8 0.5783338998811626 1.7338430690350557E-4 0.09632763823049303 0.48639604948166454
3.8 1.2000000000000002 6.4 0.4724026329155365 1.3368824479140015E-4 0.07427357821433386 0.48639604948166454
3.8 3.8 -4.0 0.05596441041914192 6.105052865403128E-19 1.8711096935856773E-18 7.312668841001935E-4
3.8 3.8 -1.4 0.0559673438691831 3.0217947106968236E-10 9.261360220567725E-10 7.312668841001935E-4
3.8 3.8 1.2000000000000002 1.4995949560697341 1.7338430690350557E-4 5.313976217982533E-4 7.312668841001935E-4
3.8 3.8 3.8 3.4872129273604524 0.11532512103806247 0.35345468195878016 7.312668841001935E-4
3.8 3.8 6.4 3.472382363106076 0.08892161745938626 0.27253179303401254 7.312668841001935E-4
3.8 6.4 -4.0 1.274247315431523 4.707310693283687E-19 7.958869386330616E-21 1.2744742831376938E-9
3.8 6.4 -1.4 1.5157226202419296 2.3299596036556137E-10 3.939371197099807E-12 1.2744742831376938E-9
3.8 6.4 1.2000000000000002 4.745343081506798 1.3368824479140015E-4 2.2603294069810525E-6 1.2744742831376938E-9
3.8 6.4 3.8 4.967707742115026 0.08892161745938626 0.0015034391929775704 1.2744742831376938E-9
3.8 6.4 6.4 4.968274483980691 0.06856315415427784 0.0011592291739045892 1.2744742831376938E-9
6.4 -4.0 -4.0 0.11814588747172593 2.4919445457932275E-36 5.900090541597062E-29 3.3546262747466025E-4
6.4 -4.0 -1.4 0.11814588747172593 1.2334282788115618E-27 2.920345291727967E-20 3.3546262747466025E-4
6.4 -4.0 1.2000000000000002 0.11814588751787 7.077155389805126E-22 1.6756334986383216E-14 3.3546262747466025E-4
6.4 -4.0 3.8 0.11814594395374475 4.707310693283687E-19 1.1145336016681301E-11 3.3546262747466025E-4
6.4 -4.0 6.4 0.11814593022927795 3.629579374926471E-19 8.593629009975718E-12 3.3546262747466025E-4
6.4 -1.4 -4.0 2.144013031828958E-4 1.2334282788115618E-27 1.6110272932682781E-22 0.3753110983727249
6.4 -1.4 -1.4 2.144013036913068E-4 6.105052865403078E-19 7.974040292384671E-14 0.3753110983727249
6.4 -1.4 1.2000000000000002 2.1509051602560476E-4 3.5029525861903424E-13 4.5753387694457995E-8 0.3753110983727249
6.4 -1.4 3.8 6.076396026685148E-4 2.3299596036556137E-10 3.0432483008403587E-5 0.3753110983727249
6.4 -1.4 6.4 5.202285129267842E-4 1.796519047256909E-10 2.3465014283569664E-5 0.3753110983727249
6.4 1.2000000000000002 -4.0 1.9531209836435727E-4 7.077155389805126E-22 5.099368797562266E-19 0.486752255339164
6.4 1.2000000000000002 -1.4 1.953146065743299E-4 3.5029525861903424E-13 2.524015106845201E-10 0.486752255339164
6.4 1.2000000000000002 1.2000000000000002 0.0016718500626351936 2.0099214685977092E-7 1.4482274668268805E-4 0.486752255339164
6.4 1.2000000000000002 3.8 0.577827786469533 1.3368824479140015E-4 0.09632763823049303 0.486752255339164
6.4 1.2000000000000002 6.4 0.47199161125427697 1.0308053314970442E-4 0.07427357821433386 0.486752255339164
6.4 3.8 -4.0 0.05592821574648544 4.707310693283687E-19 1.8711096935856773E-18 7.318024179471264E-4
6.4 3.8 -1.4 0.0559311471670107 2.3299596036556137E-10 9.261360220567725E-10 7.318024179471264E-4
6.4 3.8 1.2000000000000002 1.437132610774914 1.3368824479140015E-4 5.313976217982533E-4 7.318024179471264E-4
6.4 3.8 3.8 3.398268456240319 0.08892161745938626 0.35345468195878016 7.318024179471264E-4
6.4 3.8 6.4 3.3842499889485675 0.06856315415427784 0.27253179303401254 7.318024179471264E-4
6.4 6.4 -4.0 1.2741937338428944 3.629579374926471E-19 7.958869386330616E-21 1.2754076278993749E-9
6.4 6.4 -1.4 1.4591715092476663 1.796519047256909E-10 3.939371197099807E-12 1.2754076278993749E-9
6.4 6.4 1.2000000000000002 4.709551732065541 1.0308053314970442E-4 2.2603294069810525E-6 1.2754076278993749E-9
6.4 6.4 3.8 4.959747714315154 0.06856315415427784 0.0015034391929775704 1.2754076278993749E-9
6.4 6.4 6.4 4.9603435569236325 0.052865728738350284 0.0011592291739045892 1.2754076278993749E-9

86
Examples/jFuzzyLogic/trust/LarsenManyRules.fcl
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@ -1,86 +0,0 @@
FUNCTION_BLOCK LarsenTrustManyRules
VAR_INPUT
WTV : REAL;
OW : REAL;
AC : REAL;
END_VAR
VAR_OUTPUT
trustworthiness : REAL;
END_VAR
FUZZIFY WTV
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for WTV
END_FUZZIFY
FUZZIFY OW
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for OW
END_FUZZIFY
FUZZIFY AC
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for AC
END_FUZZIFY
DEFUZZIFY trustworthiness
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
METHOD : COG;
DEFAULT := 0;
RANGE := (-4.0 .. 9.0); // Added range for trustworthiness
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : PROD;
RULE 1 : IF WTV IS fully AND AC IS high THEN trustworthiness IS fully;
RULE 2 : IF WTV IS fully AND AC IS medium THEN trustworthiness IS fully WITH 0.8;
RULE 3 : IF WTV IS fully AND AC IS low THEN trustworthiness IS fully WITH 0.6;
RULE 4 : IF WTV IS largely AND AC IS high AND OW IS NOT high THEN trustworthiness IS fully;
RULE 5 : IF WTV IS largely AND AC IS medium AND OW IS NOT high THEN trustworthiness IS fully WITH 0.66;
RULE 6 : IF WTV IS largely AND AC IS low AND OW IS NOT high THEN trustworthiness IS largely WITH 0.33;
RULE 7 : IF WTV IS largely AND AC IS high AND OW IS high THEN trustworthiness IS largely WITH 0.66;
RULE 8 : IF WTV IS largely AND AC IS medium AND OW IS high THEN trustworthiness IS largely WITH 0.33;
RULE 9 : IF WTV IS largely AND AC IS low AND OW IS high THEN trustworthiness IS largely WITH 0.1;
RULE 10 : IF WTV IS satISfactory AND AC IS high THEN trustworthiness IS largely;
RULE 11 : IF WTV IS satISfactory AND AC IS medium THEN trustworthiness IS largely WITH 0.66;
RULE 12 : IF WTV IS satISfactory AND AC IS low THEN trustworthiness IS satISfactory WITH 0.33;
RULE 13 : IF WTV IS satISfactory AND AC IS high AND OW IS high THEN trustworthiness IS satISfactory;
RULE 14 : IF WTV IS satISfactory AND AC IS medium AND OW IS high THEN trustworthiness IS satISfactory WITH 0.66;
RULE 15 : IF WTV IS satISfactory AND AC IS low AND OW IS high THEN trustworthiness IS satISfactory WITH 0.33;
RULE 16 : IF WTV IS satISfactory AND AC IS high AND OW IS NOT high THEN trustworthiness IS satISfactory WITH 0.5;
RULE 17 : IF WTV IS satISfactory AND AC IS medium AND OW IS NOT high THEN trustworthiness IS satISfactory WITH 0.7;
RULE 18 : IF WTV IS satISfactory AND AC IS low AND OW IS NOT high THEN trustworthiness IS satISfactory WITH 0.9;
RULE 19 : IF WTV IS partially AND AC IS high AND OW IS high THEN trustworthiness IS satISfactory;
RULE 20 : IF WTV IS partially AND AC IS medium AND OW IS high THEN trustworthiness IS satISfactory WITH 0.33;
RULE 21 : IF WTV IS partially AND AC IS low AND OW IS high THEN trustworthiness IS partially WITH 0.66;
RULE 22 : IF WTV IS partially AND AC IS high AND OW IS NOT high THEN trustworthiness IS partially WITH 0.6;
RULE 23 : IF WTV IS partially AND AC IS medium AND OW IS NOT high THEN trustworthiness IS partially WITH 0.75;
RULE 24 : IF WTV IS partially AND AC IS low AND OW IS NOT high THEN trustworthiness IS partially WITH 0.9;
RULE 25 : IF WTV IS minimal AND AC IS high AND OW IS high THEN trustworthiness IS minimal WITH 0.5;
RULE 26 : IF WTV IS minimal AND AC IS medium AND OW IS high THEN trustworthiness IS minimal WITH 0.3;
RULE 27 : IF WTV IS minimal AND AC IS low AND OW IS high THEN trustworthiness IS minimal WITH 0.1;
RULE 28 : IF WTV IS minimal AND AC IS high AND OW IS NOT high THEN trustworthiness IS minimal WITH 0.4;
RULE 29 : IF WTV IS minimal AND AC IS medium AND OW IS NOT high THEN trustworthiness IS nothing WITH 0.8;
RULE 30 : IF WTV IS minimal AND AC IS low AND OW IS NOT high THEN trustworthiness IS nothing WITH 0.95;
RULE 31 : IF WTV IS nothing THEN trustworthiness IS nothing;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/trust/LarsenManyRules.fld
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@ -1,126 +0,0 @@
AC WTV OW trustworthiness No1.1 No1.2 No1.3 No1.4 No1.5 No1.6 No1.7 No1.8 No1.9 No1.10 No1.11 No1.12 No1.13 No1.14 No1.15 No1.16 No1.17 No1.18 No1.19 No1.20 No1.21 No1.22 No1.23 No1.24 No1.25 No1.26 No1.27 No1.28 No1.29 No1.30 No1.31
-4.0 -4.0 -4.0 0.11814590917809341 6.639677199580735E-36 1.3794073625809013E-27 5.186434267821657E-22 3.263247861014401E-32 5.593061367045755E-24 1.4019569042462244E-18 5.549674102370404E-50 7.205980319737613E-42 1.0946977029531417E-36 5.900090541597062E-29 1.0112492178274336E-20 2.5347975461166915E-15 1.5203100247718292E-46 2.6057436111642533E-38 6.531557597224785E-33 2.950045270798531E-29 1.0725370492109144E-20 6.913084216681886E-15 1.0112214926104486E-43 8.665942804123523E-36 8.688821773082804E-30 2.3546375147684775E-26 7.643454047279237E-18 4.5981801252569924E-12 1.2371887048697986E-41 1.927714808756546E-33 3.221340285992516E-28 3.8410720218034705E-24 1.9949776426683007E-15 1.1876452230674055E-9 3.3546262790251185E-4
-4.0 -4.0 -1.4 0.11814590917809335 6.639677199580735E-36 1.3794073625809013E-27 5.186434267821657E-22 3.2632478568524295E-32 5.593061359912321E-24 1.4019569024581579E-18 2.7469010045217157E-41 3.5667165699687486E-33 5.418383430128308E-28 5.900090541597062E-29 1.0112492178274336E-20 2.5347975461166915E-15 7.525020491647316E-38 1.2897549677693489E-29 3.2329001296211116E-24 2.9500452670360205E-29 1.0725370478429922E-20 6.913084207864885E-15 5.005204418506582E-35 4.289348627445915E-27 4.3006729433710306E-21 2.354637511765355E-26 7.643454037530716E-18 4.598180119392439E-12 6.1236657027089455E-33 9.54153639822384E-25 1.5944545038634991E-19 3.8410720169045376E-24 1.9949776401238914E-15 1.1876452215526736E-9 3.3546262790251185E-4
-4.0 -4.0 1.2000000000000002 0.11814590916090019 6.639677199580735E-36 1.3794073625809013E-27 5.186434267821657E-22 3.260859808336304E-32 5.5889683512084044E-24 1.4009309487925308E-18 1.5761147675439324E-35 2.0465079186755038E-27 3.1089559202835345E-22 5.900090541597062E-29 1.0112492178274336E-20 2.5347975461166915E-15 4.317700529954529E-32 7.40034623697102E-24 1.8549709756204818E-18 2.947886420533554E-29 1.0717521640039629E-20 6.908025204930193E-15 2.8718823814904615E-29 2.4611391905763012E-21 2.4676368479482006E-15 2.352914385339583E-26 7.637860549118834E-18 4.594815165918881E-12 3.51363224581236E-27 5.474735491939222E-19 9.148648915921748E-14 3.838261116006821E-24 1.9935177132037836E-15 1.1867761014203929E-9 3.3546262790251185E-4
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3.8 -1.4 -4.0 0.0326090422973306 6.208075409403594E-10 4.3828858558482145E-10 5.600078330074594E-13 2.266180127765707E-7 1.3199319826783202E-7 1.1243311274018632E-10 3.854001198198379E-25 1.7005720599836953E-25 8.779176441142381E-29 3.0432483008403587E-5 1.7725337515297175E-5 1.509861793917114E-8 7.841711694114211E-23 4.5673889454713485E-23 3.8905471113174165E-26 1.5216241504201794E-5 1.8799600395012153E-5 4.11780489250122E-8 3.873997628687189E-21 1.1282009996190496E-21 3.8440511131905296E-24 9.020635157865439E-4 9.950853232702445E-4 2.0342964662829508E-6 3.520329803231932E-20 1.8640080884570515E-20 1.058520359677183E-23 0.010929488978917025 0.0192904803414535 3.902557746403569E-5 0.37531109885139957
3.8 -1.4 -1.4 0.032609042259867264 6.208075409403594E-10 4.3828858558482145E-10 5.600078330074594E-13 2.2661801248754035E-7 1.3199319809948686E-7 1.1243311259678828E-10 1.9076002603895674E-16 8.417256605816809E-17 4.345395448490758E-20 3.0432483008403587E-5 1.7725337515297175E-5 1.509861793917114E-8 3.88138210143395E-14 2.2607030702934155E-14 1.92568925149176E-17 1.5216241484794883E-5 1.8799600371035E-5 4.1178048872493396E-8 1.917497817252069E-12 5.584213418644324E-13 1.9026753047977673E-15 9.020635146360452E-4 9.950853220011052E-4 2.0342964636883936E-6 1.742444203816442E-11 9.226209676766952E-12 5.239317815188483E-15 0.01092948896497747 0.01929048031685027 3.902557741426216E-5 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.03258754652279105 6.208075409403594E-10 4.3828858558482145E-10 5.600078330074594E-13 2.264521731666589E-7 1.3189660532606383E-7 1.1235083391632079E-10 1.0945414254177502E-10 4.8296470884084643E-11 2.493297692894826E-14 3.0432483008403587E-5 1.7725337515297175E-5 1.509861793917114E-8 2.227056467808863E-8 1.2971444869167263E-8 1.1049205129637537E-11 1.520510622186275E-5 1.8785842801969098E-5 4.11479147292041E-8 1.100220438060694E-6 3.204105724871138E-7 1.0917155881469651E-9 9.014033835237074E-4 9.94357117423683E-4 2.032807763208205E-6 9.997783089873683E-6 5.293807565715704E-6 3.0062117880409034E-9 0.010921490752445126 0.019276363521278258 3.8997018452049296E-5 0.37531109885139957
3.8 -1.4 3.8 0.024405332772771893 6.208075409403594E-10 4.3828858558482145E-10 5.600078330074594E-13 1.1631118381640927E-7 6.774521123959297E-8 5.770604146929881E-11 7.280250711370656E-8 3.212399351411952E-8 1.6583960991178033E-11 3.0432483008403587E-5 1.7725337515297175E-5 1.509861793917114E-8 1.4813079758803949E-5 8.627848023222818E-6 7.3492863437692484E-9 7.80970162479982E-6 9.648852491594016E-6 2.1134540714732432E-8 7.318024188804728E-4 2.1311841142875764E-4 7.26145489120058E-7 4.6298206445826026E-4 5.107252972957955E-4 1.0440980720283263E-6 0.0066499417712218845 0.0035211318092827396 1.9995566179747367E-6 0.005609535561939517 0.009900795516699527 2.0029789593275692E-5 0.37531109885139957
3.8 -1.4 6.4 0.023725780630822733 6.208075409403594E-10 4.3828858558482145E-10 5.600078330074594E-13 1.415657573818755E-7 8.245468598502135E-8 7.023571765038373E-11 5.613448856049884E-8 2.4769256141405325E-8 1.2787089421152303E-11 3.0432483008403587E-5 1.7725337515297175E-5 1.509861793917114E-8 1.142164863866049E-5 6.652515900378115E-6 5.666678889887771E-9 9.505417184871548E-6 1.174390171279294E-5 2.5723470134409186E-8 5.64257415572674E-4 1.643252890960804E-4 5.598956309101268E-7 5.635090664429395E-4 6.216187571427892E-4 1.270802424132778E-6 0.0051274481482020086 0.002714974265370836 1.5417613011934358E-6 0.006827530460355418 0.012050548967131269 2.4378845102698046E-5 0.37531109885139957
3.8 1.2000000000000002 -4.0 1.090334644033002 3.562064783070342E-4 2.5148089102921975E-4 3.213208681675866E-7 0.009657697627537778 0.005625106239984455 4.7915211719650505E-6 1.642445707308593E-20 7.247266246815995E-21 3.741389770765924E-24 0.09632763823049303 0.05610583596532173 4.779150640528706E-5 2.4821292661853207E-19 1.4457111168872598E-19 1.2314710388704924E-22 0.04816381911524652 0.05950618966018971 1.3034047201441925E-4 9.107668645013996E-19 2.652371491767259E-19 9.037265158394215E-22 0.21207280917526808 0.23394199652448516 4.782578596184279E-4 6.14703336847797E-19 3.254842744659578E-19 1.8483381773421468E-22 0.19084556620841372 0.336841242101857 6.81446172103848E-4 0.48675225595997157
3.8 1.2000000000000002 -1.4 1.0903346436015653 3.562064783070342E-4 2.5148089102921975E-4 3.213208681675866E-7 0.009657697615220277 0.005625106232810152 4.791521165853908E-6 8.129550816959362E-12 3.587151707685354E-12 1.851861412048417E-15 0.09632763823049303 0.05610583596532173 4.779150640528706E-5 1.2285700473339503E-10 7.15578112511078E-11 6.095365189584572E-14 0.048163819053818016 0.05950618958429506 1.30340471848182E-4 4.5079879806192804E-10 1.3128341918290835E-10 4.473140635613002E-13 0.21207280890478883 0.23394199622611378 4.7825785900845416E-4 3.0425736400428474E-10 1.6110370879340108E-10 9.148648915921711E-14 0.19084556596500782 0.3368412416722471 6.814461712347263E-4 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 1.0900870551993387 3.562064783070342E-4 2.5148089102921975E-4 3.213208681675866E-7 0.00965063010105313 0.0056209897736315744 4.788014725181289E-6 4.66456747986791E-6 2.058233176440133E-6 1.0625596314427338E-9 0.09632763823049303 0.05610583596532173 4.779150640528706E-5 7.04927986621179E-5 4.1058386472733474E-5 3.497393998933068E-8 0.04812857271591546 0.05946264288665802 1.3024508854172107E-4 2.586589912220635E-4 7.532770033111198E-5 2.56659522912733E-7 0.21191761378053484 0.23377079720555083 4.779078693599106E-4 1.745765587299132E-4 9.24379634058157E-5 5.249304811394053E-8 0.1907059049614298 0.3365947408661082 6.809474881467656E-4 0.48675225595997157
3.8 1.2000000000000002 3.8 1.0979575866323525 3.562064783070342E-4 2.5148089102921975E-4 3.213208681675866E-7 0.0049567915199545 0.002887073087657509 2.4592374320310954E-6 0.003102598031004964 0.0013690165761634735 7.06752648464835E-7 0.09632763823049303 0.05610583596532173 4.779150640528706E-5 0.046887695219988486 0.027309642228640463 2.3262623558498908E-5 0.024719971505252274 0.03054141759951044 6.689695321851315E-5 0.1720448638230505 0.050103589611712115 1.7071493420656197E-4 0.1088458908814378 0.12007020195241219 2.4546476751857076E-4 0.11611813736487936 0.06148433793503919 3.4915311745982646E-5 0.09795105631651024 0.17288300760841918 3.4975071051701297E-4 0.48675225595997157
3.8 1.2000000000000002 6.4 1.0016548294649432 3.562064783070342E-4 2.5148089102921975E-4 3.213208681675866E-7 0.006033056518572022 0.003513941435900026 2.9932100957451026E-6 0.0023922631319173993 0.0010555824020422146 5.449427503696812E-7 0.09632763823049303 0.05610583596532173 4.779150640528706E-5 0.036152831754046405 0.02105714294812126 1.7936682784731978E-5 0.030087403238223315 0.037172856230364135 8.142224623787751E-5 0.13265546508012166 0.0386324522245617 1.3163002074032104E-4 0.1324795301271951 0.14614096874139038 2.9876237679071744E-4 0.08953307395574654 0.04740759626689432 2.6921506490565795E-5 0.11921910704381647 0.21042098539013884 4.2569186044347305E-4 0.48675225595997157
3.8 3.8 -4.0 4.1068411046761115 0.23692775868212168 0.16727041053862637 2.137238869842205E-4 0.47711391552103427 0.277894024734032 2.3671288083607357E-4 8.114084046390922E-19 3.580327019125536E-19 1.8483381773421468E-22 0.35345468195878016 0.20586895694154697 1.753612151934236E-4 9.107668645013996E-19 5.304742983534518E-19 4.518632579197107E-22 0.17672734097939008 0.2183458634228528 4.782578596184279E-4 2.4821292661853207E-19 7.228555584436299E-20 2.4629420777409848E-22 0.057796582938295815 0.06375663177877469 1.3034047201441925E-4 1.2442770509913582E-20 6.5884238607418124E-21 3.741389770765924E-24 0.0038630790510151116 0.006818310593920552 1.3793773070808478E-5 7.318024188804728E-4
3.8 3.8 -1.4 4.106841104577381 0.23692775868212168 0.16727041053862637 2.137238869842205E-4 0.47711391491251953 0.27789402437960387 2.3671288053416813E-4 4.016197204856559E-10 1.772140796727412E-10 9.148648915921711E-14 0.35345468195878016 0.20586895694154697 1.753612151934236E-4 4.5079879806192804E-10 2.625668383658167E-10 2.236570317806501E-13 0.17672734075399069 0.21834586314437285 4.7825785900845416E-4 1.2285700473339503E-10 3.57789056255539E-11 1.2190730379169143E-13 0.057796582864581614 0.063756631697459 1.30340471848182E-4 6.158750618908607E-12 3.261047006986685E-12 1.851861412048417E-15 0.003863079046088111 0.0068183105852244255 1.3793773053215793E-5 7.318024188804728E-4
3.8 3.8 1.2000000000000002 4.106784416185404 0.23692775868212168 0.16727041053862637 2.137238869842205E-4 0.47676476240357446 0.2776906612145392 2.3653965377729756E-4 2.3044105752348544E-4 1.016817597463973E-4 5.249304811394053E-8 0.35345468195878016 0.20586895694154697 1.753612151934236E-4 2.586589912220635E-4 1.5065540066222397E-4 1.283297614563665E-7 0.17659801148377904 0.21818607739184742 4.779078693599106E-4 7.04927986621179E-5 2.0529193236366737E-5 6.994787997866136E-8 0.05775428725909855 0.06370997452141931 1.3024508854172107E-4 3.5337632423241746E-6 1.8711210694910295E-6 1.0625596314427338E-9 0.003860252040421252 0.006813320937735241 1.3783678754309771E-5 7.318024188804728E-4
3.8 3.8 3.8 3.9856469641250407 0.23692775868212168 0.16727041053862637 2.137238869842205E-4 0.24487764079127558 0.14262848127694583 1.2149235207433084E-4 0.15327594132164077 0.06763277172854311 3.4915311745982646E-5 0.35345468195878016 0.20586895694154697 1.753612151934236E-4 0.1720448638230505 0.10020717922342423 8.535746710328098E-5 0.09070490906786484 0.11206552182225137 2.4546476751857076E-4 0.046887695219988486 0.013654821114320231 4.6525247116997817E-5 0.029663965806302726 0.0327229474280469 6.689695321851315E-5 0.0023504530537916393 0.0012445605237849757 7.06752648464835E-7 0.0019827166079818 0.00349948253049395 7.0796229103925475E-6 7.318024188804728E-4
3.8 3.8 6.4 4.071487676563545 0.23692775868212168 0.16727041053862637 2.137238869842205E-4 0.29804776760954116 0.17359731294686453 1.4787190941720644E-4 0.11818365762158545 0.052148355893583756 2.6921506490565795E-5 0.35345468195878016 0.20586895694154697 1.753612151934236E-4 0.13265546508012166 0.0772649044491234 6.581501037016052E-5 0.11039960843932925 0.13639823749196436 2.9876237679071744E-4 0.036152831754046405 0.01052857147406063 3.5873365569463956E-5 0.036104883885867974 0.03982806024681872 8.142224623787751E-5 0.001812320554482878 9.596203654929223E-4 5.449427503696812E-7 0.002413222607428809 0.004259322952606092 8.616816942296507E-6 7.318024188804728E-4
3.8 6.4 -4.0 4.985531166774085 0.18268352405273452 0.12897411530382139 1.6479214198328535E-4 0.027323722447292535 0.015914646281699123 1.3556253224349228E-5 4.646835340266146E-20 2.050408897302755E-20 1.058520359677182E-23 0.0015034391929775704 8.756750844778135E-4 7.459087043037473E-7 3.873997628687182E-21 2.2564019992380948E-21 1.922025556595262E-24 7.517195964887852E-4 9.287463017188931E-4 2.0342964662829474E-6 7.841711694114211E-23 2.2836944727356742E-23 7.781094222634833E-26 1.8259489805042153E-5 2.014242899465588E-5 4.11780489250122E-8 2.9196978774230145E-25 1.5459745999851774E-25 8.779176441142381E-29 9.064720511062828E-8 1.5999175547616E-7 3.2367108213083937E-10 1.2754076295260396E-9
3.8 6.4 -1.4 4.985531166781584 0.18268352405273452 0.12897411530382139 1.6479214198328535E-4 0.02732372241244365 0.01591464626140146 1.3556253207059478E-5 2.3000263490377015E-11 1.014883064444364E-11 5.239317815188479E-15 0.0015034391929775704 8.756750844778135E-4 7.459087043037473E-7 1.917497817252065E-12 1.1168426837288626E-12 9.51337652398882E-16 7.517195955300363E-4 9.28746300534363E-4 2.03429646368839E-6 3.88138210143395E-14 1.1303515351467077E-14 3.85137850298352E-17 1.825948978175386E-5 2.0142428968966073E-5 4.1178048872493396E-8 1.445151712416339E-16 7.652051459833462E-17 4.345395448490758E-20 9.064720499501614E-8 1.5999175527210532E-7 3.236710817180268E-10 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 4.9855354698108 0.18268352405273452 0.12897411530382139 1.6479214198328535E-4 0.027303726881112787 0.01590299990505455 1.3546332725448693E-5 1.3197073678633248E-5 5.82318832228727E-6 3.0062117880409013E-9 0.0015034391929775704 8.756750844778135E-4 7.459087043037473E-7 1.100220438060692E-6 6.408211449742263E-7 5.458577940734816E-10 7.511694862697548E-4 9.280666429287689E-4 2.0328077632082017E-6 2.227056467808863E-8 6.485722434583632E-9 2.2098410259275074E-11 1.8246127466235298E-5 2.0127688716395463E-5 4.11479147292041E-8 8.291980495589016E-11 4.390588262189513E-11 2.493297692894826E-14 9.058086926666357E-8 1.598746731225016E-7 3.2343421885001435E-10 1.2754076295260396E-9
3.8 6.4 3.8 4.954528678224563 0.18268352405273452 0.12897411530382139 1.6479214198328535E-4 0.01402383890484878 0.008168156301277103 6.957716385032604E-6 0.00877792313801288 0.0038732449902110105 1.999556617974735E-6 0.0015034391929775704 8.756750844778135E-4 7.459087043037473E-7 7.318024188804715E-4 4.262368228575144E-4 3.630727445600284E-7 3.858183870485495E-4 4.7667694414274146E-4 1.0440980720283247E-6 1.4813079758803949E-5 4.313924011611409E-6 1.4698572687538497E-8 9.371641949759784E-6 1.033805624099359E-5 2.1134540714732432E-8 5.515341448008072E-8 2.920363046738138E-8 1.6583960991178033E-11 4.652447352656371E-8 8.2115407563143E-8 1.6612345271464809E-10 1.2754076295260396E-9
3.8 6.4 6.4 4.963960087349446 0.18268352405273452 0.12897411530382139 1.6479214198328535E-4 0.017068826150888526 0.009941702897883289 8.468440930410894E-6 0.006768231555626646 0.002986471691907917 1.5417613011934347E-6 0.0015034391929775704 8.756750844778135E-4 7.459087043037473E-7 5.64257415572673E-4 3.2865057819216016E-4 2.799478154550629E-7 4.695908887024487E-4 5.801775066666021E-4 1.2708024241327757E-6 1.142164863866049E-5 3.3262579501890577E-6 1.1333357779775543E-8 1.1406500621845857E-5 1.2582751835135294E-5 2.5723470134409186E-8 4.2526127697347605E-8 2.251750558309575E-8 1.2787089421152303E-11 5.66263029527502E-8 9.994507392123801E-8 2.0219373262989252E-10 1.2754076295260396E-9
6.4 -4.0 -4.0 0.11935466136816546 9.670855421101112E-19 1.0264881379206591E-21 1.971849405871035E-27 4.75300188826657E-15 4.162085330031037E-18 5.330151209755528E-24 8.083238727575837E-33 5.362341481533565E-36 4.161971218972297E-42 8.593629009975718E-12 7.525226809281477E-15 9.637139462702292E-21 2.2143694644895412E-29 1.9390681678819702E-32 2.4832567622436145E-38 4.296814504987859E-12 7.981301161359141E-15 2.6283107625551702E-20 1.4728693217741423E-26 6.448774838846762E-30 3.303434916214345E-35 3.4295882600835904E-9 5.687888237448516E-12 1.748198912754018E-17 1.801996201588033E-24 1.4345119782311823E-27 1.2247331405417894E-33 5.594617188203596E-7 1.4845657208791554E-9 4.515351793853226E-15 3.3546262790251185E-4
6.4 -4.0 -1.4 0.1193546613666681 9.670855421101112E-19 1.0264881379206591E-21 1.971849405871035E-27 4.753001882204555E-15 4.162085324722682E-18 5.3301512029574124E-24 4.000929815154925E-24 2.6541776923299946E-27 2.0600350058938336E-33 8.593629009975718E-12 7.525226809281477E-15 9.637139462702292E-21 1.0960380004639338E-20 9.597731686471491E-24 1.229128119753698E-29 4.296814499507669E-12 7.981301151179729E-15 2.6283107592030028E-20 7.290205055072577E-18 3.1919254637306326E-21 1.6350885695874413E-26 3.4295882557094676E-9 5.687888230194139E-12 1.7481989105243518E-17 8.919271807640483E-16 7.100349176032873E-19 6.062014871446836E-25 5.594617181068179E-7 1.4845657189857288E-9 4.515351788094312E-15 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 0.11935380279200354 9.670855421101112E-19 1.0264881379206591E-21 1.971849405871035E-27 4.749523629987793E-15 4.1590395059189335E-18 5.32625059220723E-24 2.295650463992774E-18 1.522912056051822E-21 1.182005317665992E-27 8.593629009975718E-12 7.525226809281477E-15 9.637139462702292E-21 6.288838496461633E-15 5.5069791816563666E-18 7.052481969893996E-24 4.293670085739628E-12 7.975460425863445E-15 2.626387358381563E-20 4.18296830748874E-12 1.83146056301411E-15 9.381798748942423E-21 3.4270784790990973E-9 5.683725827078029E-12 1.7469195765609804E-17 5.117692988797076E-10 4.074032945723995E-13 3.478258278776919E-19 5.590523033812558E-7 1.483479312093629E-9 4.512047448488388E-15 3.3546262790251185E-4
6.4 -4.0 3.8 0.11889919346002248 9.670855421101112E-19 1.0264881379206591E-21 1.971849405871035E-27 2.4394674965708124E-15 2.1361809061405274E-18 2.735688083799253E-24 1.5269326985192E-15 1.0129522119452551E-18 7.862009472594772E-25 8.593629009975718E-12 7.525226809281477E-15 9.637139462702292E-21 4.182968307488738E-12 3.662921126028218E-15 4.6908993744712085E-21 2.2053303512434904E-12 4.096384815571639E-15 1.348974569517568E-20 2.782266371015869E-9 1.218180669739551E-12 6.2402249407651105E-18 1.7602284374740693E-9 2.919295806222265E-12 8.972591481042304E-18 3.4039906719881664E-7 2.7098089265953887E-10 2.31353439169575E-16 2.871424650613063E-7 7.61950007120385E-10 2.317494121742264E-15 3.3546262790251185E-4
6.4 -4.0 6.4 0.11891526867249601 9.670855421101112E-19 1.0264881379206591E-21 1.971849405871035E-27 2.9691475267384674E-15 2.6000085113037995E-18 3.329686302178065E-24 1.1773438786085476E-15 7.810384093636188E-19 6.062014871446857E-25 8.593629009975718E-12 7.525226809281477E-15 9.637139462702292E-21 3.22528434685525E-12 2.824301142897441E-15 3.616925401530981E-21 2.684172331560234E-12 4.9858302522254925E-15 1.6418765621376298E-20 2.1452708974997186E-9 9.392801371979307E-13 4.811535336347902E-18 2.1424257215837593E-9 3.553160652907765E-12 1.0920804577974859E-17 2.624652405697022E-7 2.0894024700760334E-10 1.7838543615280966E-16 3.4948952636459783E-7 9.273917288588796E-10 2.8206901504015346E-15 3.3546262790251185E-4
6.4 -1.4 -4.0 0.025465288479923753 4.786746389208764E-10 5.080769149993035E-13 9.759987728719389E-19 1.7473417812302764E-7 1.5301036618904356E-10 1.9595186637886281E-16 2.971633735559704E-25 1.9713527442601248E-28 1.5300617113452173E-34 2.3465014283569664E-5 2.054772836503797E-8 2.6314332964869414E-14 6.04636423716113E-23 5.294650514159705E-26 6.780564453989853E-32 1.1732507141784832E-5 2.179304523564633E-8 7.176636263146204E-14 2.9870520149985116E-21 1.3078435127867228E-24 6.699529806900028E-30 6.955375043427548E-4 1.1535319372591467E-6 3.545434077389833E-12 2.714355877333536E-20 2.1608125565335405E-23 1.8448216457199674E-29 0.008427199809216569 2.2362087590445863E-5 6.801496956027448E-11 0.37531109885139957
6.4 -1.4 -1.4 0.025465288450525914 4.786746389208764E-10 5.080769149993035E-13 9.759987728719389E-19 1.7473417790017033E-7 1.53010365993893E-10 1.9595186612894428E-16 1.4708582058526717E-16 9.757529421703967E-20 7.573288042408141E-26 2.3465014283569664E-5 2.054772836503797E-8 2.6314332964869414E-14 2.9927458244202245E-14 2.6206729526198044E-17 3.356150102928302E-23 1.1732507126821102E-5 2.1793045207851314E-8 7.176636253993066E-14 1.478489732767084E-12 6.473383108201983E-16 3.3160406930087126E-21 6.955375034556609E-4 1.1535319357879233E-6 3.54543407286796E-12 1.3435143665268995E-11 1.0695291421869083E-14 9.131243273595307E-21 0.008427199798468453 2.2362087561925084E-5 6.801496947352766E-11 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.025448420502541532 4.786746389208764E-10 5.080769149993035E-13 9.759987728719389E-19 1.746063072288161E-7 1.5289839283295264E-10 1.9580846832906261E-16 8.439479017960519E-11 5.59866780454645E-14 4.345395448490757E-20 2.3465014283569664E-5 2.054772836503797E-8 2.6314332964869414E-14 1.7171754211781124E-8 1.503687732003369E-11 1.92568925149176E-17 1.1723921264678942E-5 2.1777097032428112E-8 7.171384383369408E-14 8.483267135001922E-7 3.714292832545334E-10 1.9026753047977673E-15 6.950285083146547E-4 1.1526877797972046E-6 3.542839520156018E-12 7.708806505967179E-6 6.136736171214481E-9 5.239317815188483E-15 0.008421032764011795 2.2345722960655958E-5 6.796519604103019E-11 0.37531109885139957
6.4 -1.4 3.8 0.019202095652600698 4.786746389208764E-10 5.080769149993035E-13 9.759987728719389E-19 8.968192272833243E-8 7.853222526126527E-11 1.0057185335938444E-16 5.613448856049884E-8 3.7239070463889154E-11 2.890303424832678E-17 2.3465014283569664E-5 2.054772836503797E-8 2.6314332964869414E-14 1.142164863866049E-5 1.0001653136534931E-8 1.2808560934732036E-14 6.021682822454587E-6 1.118523130295777E-8 3.683392371855649E-14 5.64257415572674E-4 2.470530800244171E-7 1.2655485593863651E-12 3.569830549991504E-4 5.920476644763808E-7 1.8196860418629714E-12 0.005127448148202008 4.0817987184840025E-6 3.4848884076328846E-12 0.0043252412906549615 1.1477291007821856E-5 3.490852968776208E-11 0.37531109885139957
6.4 -1.4 6.4 0.018511420634402802 4.786746389208764E-10 5.080769149993035E-13 9.759987728719389E-19 1.0915450172477799E-7 9.558387751897864E-11 1.2240895608622924E-16 4.3282586422844775E-8 2.8713244335032474E-11 2.2285730391707147E-17 2.3465014283569664E-5 2.054772836503797E-8 2.6314332964869414E-14 8.806680295330312E-6 7.711790511582468E-9 9.876061220586741E-15 7.329166994119676E-6 1.3613873480937652E-8 4.4831650211680016E-14 4.350715750787321E-4 1.904906691304821E-7 9.758032236262753E-13 4.3449455929551556E-4 7.20598598326233E-7 2.2147933178994578E-12 0.003953527025796716 3.147277374818054E-6 2.6870287330537994E-12 0.005264378188579195 1.3969347924264385E-5 4.248819659626339E-11 0.37531109885139957
6.4 1.2000000000000002 -4.0 0.8940778107712544 2.7465356997214227E-4 2.915239855605925E-7 5.600078330074594E-13 0.007446583070924341 6.52078725970273E-6 8.350809592989233E-12 1.2664103672165502E-20 8.401242464363119E-24 6.520608480586249E-30 0.07427357821433386 6.503952187730632E-5 8.329249852589164E-11 1.913849706861633E-19 1.6759105037338995E-22 2.1462453771587204E-28 0.03713678910716693 6.898131108199154E-5 2.271613596160681E-10 7.022482351711458E-19 3.074706413289443E-22 1.5750422020603399E-27 0.1635190758204075 2.711923873726693E-4 8.335224198510952E-10 4.739679826752375E-19 3.773108666081069E-22 3.2213402859925036E-28 0.14715177646857686 3.904761948187315E-4 1.1876452230674007E-9 0.48675225595997157
6.4 1.2000000000000002 -1.4 0.8940778103684599 2.7465356997214227E-4 2.915239855605925E-7 5.600078330074594E-13 0.007446583061426912 6.520787251386068E-6 8.350809582338546E-12 6.268303049287191E-12 4.158330910770529E-15 3.227480687156881E-21 0.07427357821433386 6.503952187730632E-5 8.329249852589164E-11 9.472908832676046E-11 8.295190242304224E-14 1.0623188810220862E-19 0.03713678905980239 6.898131099401225E-5 2.2716135932634478E-10 3.4758912812399117E-10 1.5218756956677276E-13 7.795926260166689E-19 0.16351907561185405 2.711923870267884E-4 8.335224187880144E-10 2.3459812300791656E-10 1.867561192575399E-13 1.5944545038634926E-19 0.14715177628089834 3.904761943207152E-4 1.1876452215526688E-9 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 0.8938466693824656 2.7465356997214227E-4 2.915239855605925E-7 5.600078330074594E-13 0.007441133643420644 6.516015331813075E-6 8.344698450329473E-12 3.596622152439896E-6 2.3859639448277136E-9 1.851861412048417E-15 0.07427357821433386 6.503952187730632E-5 8.329249852589164E-11 5.4353584196157506E-5 4.759607943264218E-8 6.095365189584572E-14 0.03710961231506885 6.893083039168419E-5 2.269951223836249E-10 1.9943942536412276E-4 8.732206782696741E-8 4.4731406356130015E-13 0.16339941216518905 2.7099392812760794E-4 8.329124461280571E-10 1.3460753245282897E-4 1.071567839563464E-7 9.148648915921711E-14 0.14704409044261457 3.9019044339484786E-4 1.1867761014203881E-9 0.48675225595997157
6.4 1.2000000000000002 3.8 0.9239885008569845 2.7465356997214227E-4 2.915239855605925E-7 5.600078330074594E-13 0.0038219419619585854 3.3467793504073853E-6 4.286034184509552E-12 0.002392263131917399 1.5870039546476725E-6 1.2317501237817214E-12 0.07427357821433386 6.503952187730632E-5 8.329249852589164E-11 0.036152831754046405 3.1658134000336774E-5 4.054281156202036E-11 0.019060373230143732 3.540450229375557E-5 1.165900553560126E-10 0.13265546508012166 5.80815427952396E-5 2.975272067208725E-10 0.08392579677233453 1.39188881019852E-4 4.278035015953601E-10 0.08953307395574654 7.127443827250609E-5 6.085147280085695E-11 0.07552531730397961 2.004110260920486E-4 6.095562314592598E-10 0.48675225595997157
6.4 1.2000000000000002 6.4 0.8134855356983868 2.7465356997214227E-4 2.915239855605925E-7 5.600078330074594E-13 0.004651797795887498 4.073463427887494E-6 5.216658068345637E-12 0.0018445582815243158 1.2236619159076185E-6 9.497428862556352E-13 0.07427357821433386 6.503952187730632E-5 8.329249852589164E-11 0.027875698255246998 2.441005442454146E-5 3.1260599147830954E-11 0.023198939979543434 4.309185941959908E-5 1.419051801219837E-10 0.10228420671553738 4.478386567818718E-5 2.2940882456183416E-10 0.10214855179108508 1.694108744676984E-4 5.206922045395033E-10 0.06903461865544633 5.49562686572742E-5 4.6919624601583315E-11 0.09192408154421979 2.4392614506600028E-4 7.419087893523592E-10 0.48675225595997157
6.4 3.8 -4.0 4.202179093168432 0.18268352405273452 1.9390473982737336E-4 3.7248452456421565E-10 0.3678794411714421 3.221428607254535E-4 4.125504459076234E-10 6.256377371313136E-19 4.150419532689176E-22 3.2213402859925036E-28 0.27253179303401254 2.3864930088794895E-4 3.0562488727873496E-10 7.022482351711458E-19 6.149412826578886E-22 7.875211010301699E-28 0.13626589651700627 2.5311289488115794E-4 8.335224198510952E-10 1.913849706861633E-19 8.379552518669497E-23 4.292490754317441E-28 0.044564146928600314 7.390854758784808E-5 2.271613596160681E-10 9.594017933458713E-21 7.637493149421016E-24 6.520608480586249E-30 0.0029786332283697364 7.90398455721543E-6 2.404020943436294E-11 7.318024188804728E-4
6.4 3.8 -1.4 4.202179092993034 0.18268352405273452 1.9390473982737336E-4 3.7248452456421565E-10 0.3678794407022459 3.2214286031459E-4 4.125504453814534E-10 3.096695223704499E-10 2.0543173118329388E-13 1.5944545038634926E-19 0.27253179303401254 2.3864930088794895E-4 3.0562488727873496E-10 3.4758912812399117E-10 3.0437513913354553E-13 3.8979631300833443E-19 0.1362658963432117 2.531128945583358E-4 8.335224187880144E-10 9.472908832676046E-11 4.147595121152112E-14 2.1246377620441723E-19 0.04456414687176286 7.390854749358455E-5 2.2716135932634478E-10 4.748714431278175E-12 3.780300827973208E-15 3.227480687156881E-21 0.002978633224570765 7.903984547134629E-6 2.4040209403701872E-11 7.318024188804728E-4
6.4 3.8 1.2000000000000002 4.2020783959872565 0.18268352405273452 1.9390473982737336E-4 3.7248452456421565E-10 0.36761022610653643 3.219071158007495E-4 4.12248540493398E-10 1.7768194283773425E-4 1.1787246235198105E-7 9.148648915921711E-14 0.27253179303401254 2.3864930088794895E-4 3.0562488727873496E-10 1.9943942536412276E-4 1.7464413565393482E-7 2.2365703178065008E-13 0.13616617680432422 2.529276662524341E-4 8.329124461280571E-10 5.4353584196157506E-5 2.379803971632109E-8 1.2190730379169143E-13 0.044531534778082624 7.385446113394735E-5 2.269951223836249E-10 2.724713751848406E-6 2.169058131661558E-9 1.851861412048417E-15 0.002976453457368258 7.898200402197667E-6 2.402261675094848E-11 7.318024188804728E-4
6.4 3.8 3.8 4.009455959725444 0.18268352405273452 1.9390473982737336E-4 3.7248452456421565E-10 0.18881329325994903 1.653390965259401E-4 2.1174058566479553E-10 0.11818365762158545 7.84018820997567E-5 6.085147280085695E-11 0.27253179303401254 2.3864930088794895E-4 3.0562488727873496E-10 0.13265546508012166 1.161630855904792E-4 1.4876360336043625E-10 0.06993816397694544 1.299096222851952E-4 4.278035015953601E-10 0.036152831754046405 1.5829067000168387E-5 8.108562312404072E-11 0.02287244787617248 3.7933395314738115E-5 1.165900553560126E-10 0.0018123205544828779 1.4427308678615202E-6 1.2317501237817214E-12 0.0015287767847834343 4.056702242918043E-6 1.2338583258436589E-11 7.318024188804728E-4
6.4 3.8 6.4 4.108689179278561 0.18268352405273452 1.9390473982737336E-4 3.7248452456421565E-10 0.22981020386054946 2.0123906967945023E-4 2.5771568472239847E-10 0.09112569662518916 6.045189552300163E-5 4.6919624601583315E-11 0.27253179303401254 2.3864930088794895E-4 3.0562488727873496E-10 0.10228420671553738 8.956773135637437E-5 1.1470441228091708E-10 0.08512379315923757 1.581168161698518E-4 5.206922045395033E-10 0.027875698255246998 1.220502721227073E-5 6.252119829566191E-11 0.02783872797545212 4.6169849378141874E-5 1.419051801219837E-10 0.001397392637518421 1.1124199235523804E-6 9.497428862556352E-13 0.0018607191183549995 4.937531427742416E-6 1.501765201493441E-11 7.318024188804728E-4
6.4 6.4 -4.0 4.986972414105274 0.14085842092104486 1.4951055713872412E-4 2.872047833525258E-10 0.021067999523041402 1.844872226211782E-5 2.3626252584095325E-11 3.582949758080266E-20 2.376893812186893E-23 1.844821645719966E-29 0.0011592291739045892 1.0151081047880475E-6 1.2999924950429364E-12 2.987052014998506E-21 2.6156870255734405E-24 3.349764903450008E-30 5.796145869522946E-4 1.076629808108535E-6 3.5454340773898267E-12 6.04636423716113E-23 2.6473252570798523E-26 1.3561128907979706E-31 1.4079008570141797E-5 2.3349691323906783E-8 7.176636263146204E-14 2.251237678454321E-25 1.792138858418295E-28 1.5300617113452173E-34 6.989367124921106E-8 1.8546711053217402E-10 5.641038577573323E-16 1.2754076295260396E-9
6.4 6.4 -1.4 4.9869724141112926 0.14085842092104486 1.4951055713872412E-4 2.872047833525258E-10 0.021067999496171115 1.844872223858818E-5 2.362625255396222E-11 1.773438963815506E-11 1.1764820564055982E-14 9.1312432735953E-21 0.0011592291739045892 1.0151081047880475E-6 1.2999924950429364E-12 1.4784897327670813E-12 1.2946766216403942E-15 1.6580203465043535E-21 5.796145862130497E-4 1.076629806735393E-6 3.545434072867953E-12 2.9927458244202245E-14 1.3103364763099022E-17 6.712300205856604E-23 1.4079008552185322E-5 2.3349691294126412E-8 7.176636253993066E-14 1.1142865195853572E-16 8.870481292458152E-20 7.573288042408141E-26 6.989367116006813E-8 1.8546711029562787E-10 5.641038570378698E-16 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 4.98697586721879 0.14085842092104486 1.4951055713872412E-4 2.872047833525258E-10 0.02105258191002947 1.843522144254115E-5 2.3608962835305205E-11 1.0175624587876668E-5 6.7504097883359245E-9 5.239317815188479E-15 0.0011592291739045892 1.0151081047880475E-6 1.2999924950429364E-12 8.483267135001907E-7 7.428585665090656E-10 9.513376523988819E-16 5.791904235955445E-4 1.0758419278107222E-6 3.5428395201560114E-12 1.7171754211781124E-8 7.518438660016844E-12 3.85137850298352E-17 1.406870551761473E-5 2.3332603963315834E-8 7.171384383369408E-14 6.393544710576151E-11 5.089698004133136E-14 4.345395448490757E-20 6.984252289152645E-8 1.8533138525206381E-10 5.636910451897256E-16 1.2754076295260396E-9
6.4 6.4 3.8 4.955706309624084 0.14085842092104486 1.4951055713872412E-4 2.872047833525258E-10 0.010813103226637396 9.468765081453023E-6 1.212612083890682E-11 0.006768231555626646 4.489978590332399E-6 3.4848884076328814E-12 0.0011592291739045892 1.0151081047880475E-6 1.2999924950429364E-12 5.64257415572673E-4 4.941061600488333E-7 6.327742796931816E-13 2.9748587916595814E-4 5.525778201779543E-7 1.8196860418629682E-12 1.142164863866049E-5 5.0008265682674655E-9 2.561712186946407E-14 7.2260193869455045E-6 1.1984176396026183E-8 3.683392371855649E-14 4.2526127697347605E-8 3.3853700421717415E-11 2.890303424832678E-17 3.587276909133297E-8 9.519057607426093E-11 2.895250323982279E-16 1.2754076295260396E-9
6.4 6.4 6.4 4.964995629579528 0.14085842092104486 1.4951055713872412E-4 2.872047833525258E-10 0.013160945471447976 1.1524712037518108E-5 1.4759057765017797E-11 0.005218655674051662 3.462005112299857E-6 2.687028733053797E-12 0.0011592291739045892 1.0151081047880475E-6 1.2999924950429364E-12 4.350715750787313E-4 3.809813382609635E-7 4.879016118131368E-13 3.6207879941292897E-4 6.725586917711495E-7 2.2147933178994533E-12 8.806680295330312E-6 3.855895255791234E-9 1.9752122441173482E-14 8.79500039294361E-6 1.4586293015290342E-8 4.4831650211680016E-14 3.2789838199124826E-8 2.6102949395484064E-11 2.2285730391707147E-17 4.3661800689911194E-8 1.1585924547754986E-10 3.5238941903611443E-16 1.2754076295260396E-9

58
Examples/jFuzzyLogic/trust/MamdaniFewRules.fcl
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@ -1,58 +0,0 @@
FUNCTION_BLOCK MamdaniTrustFewRules
VAR_INPUT
WTV : REAL;
OW : REAL;
AC : REAL;
END_VAR
VAR_OUTPUT
trustworthiness : REAL;
END_VAR
FUZZIFY WTV
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for WTV
END_FUZZIFY
FUZZIFY OW
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for OW
END_FUZZIFY
FUZZIFY AC
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for AC
END_FUZZIFY
DEFUZZIFY trustworthiness
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
METHOD : COG;
DEFAULT := 0;
RANGE := (-4.0 .. 9.0); // Added range for trustworthiness
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : MIN;
RULE 1 : IF WTV IS fully AND OW IS high AND AC IS high THEN trustworthiness IS fully;
RULE 2 : IF WTV IS satISfactory AND OW IS high THEN trustworthiness IS satISfactory;
RULE 3 : IF WTV IS nothing AND AC IS NOT low THEN trustworthiness IS nothing;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/trust/MamdaniFewRules.fld
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@ -1,126 +0,0 @@
AC WTV OW trustworthiness No1.1 No1.2 No1.3
-4.0 -4.0 -4.0 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 -1.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-4.0 -4.0 1.2000000000000002 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-4.0 -4.0 3.8 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-4.0 -4.0 6.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-4.0 -1.4 -4.0 2.1440130067640695E-4 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 -1.4 2.1441791333979342E-4 2.576757109154981E-18 1.2754076295260396E-9 0.37531109885139957
-4.0 -1.4 1.2000000000000002 0.0010024559404113941 2.576757109154981E-18 6.252150377482015E-5 0.37531109885139957
-4.0 -1.4 3.8 0.0010024559404113941 2.576757109154981E-18 6.252150377482015E-5 0.37531109885139957
-4.0 -1.4 6.4 0.0010024559404113941 2.576757109154981E-18 6.252150377482015E-5 0.37531109885139957
-4.0 1.2000000000000002 -4.0 1.9531210161944423E-4 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 -1.4 1.9532595962674313E-4 2.576757109154981E-18 1.2754076295260396E-9 0.48675225595997157
-4.0 1.2000000000000002 1.2000000000000002 0.007165935525054486 2.576757109154981E-18 7.318024188804728E-4 0.48675225595997157
-4.0 1.2000000000000002 3.8 0.9534088270515392 2.576757109154981E-18 0.19789869908361474 0.48675225595997157
-4.0 1.2000000000000002 6.4 0.9534088270515392 2.576757109154981E-18 0.19789869908361474 0.48675225595997157
-4.0 3.8 -4.0 0.05592821568344743 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 -1.4 0.05593232172333802 2.576757109154981E-18 1.2754076295260396E-9 7.318024188804728E-4
-4.0 3.8 1.2000000000000002 1.5550452747415202 2.576757109154981E-18 7.318024188804728E-4 7.318024188804728E-4
-4.0 3.8 3.8 2.993347126786305 2.576757109154981E-18 0.48675225595997157 7.318024188804728E-4
-4.0 3.8 6.4 2.9920305992170753 2.576757109154981E-18 0.37531109885139935 7.318024188804728E-4
-4.0 6.4 -4.0 1.274193733749591 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 -1.4 2.4934999999999605 2.576757109154981E-18 1.2754076295260396E-9 1.2754076295260396E-9
-4.0 6.4 1.2000000000000002 2.9999895280198197 2.576757109154981E-18 7.318024188804728E-4 1.2754076295260396E-9
-4.0 6.4 3.8 3.0000085271004036 2.576757109154981E-18 0.003088715408236766 1.2754076295260396E-9
-4.0 6.4 6.4 3.0000085271004036 2.576757109154981E-18 0.003088715408236766 1.2754076295260396E-9
-1.4 -4.0 -4.0 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-1.4 -4.0 -1.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-1.4 -4.0 1.2000000000000002 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-1.4 -4.0 3.8 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-1.4 -4.0 6.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-1.4 -1.4 -4.0 2.1440130067640695E-4 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
-1.4 -1.4 -1.4 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 1.2000000000000002 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
-1.4 -1.4 3.8 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
-1.4 -1.4 6.4 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
-1.4 1.2000000000000002 -4.0 1.9531210161944423E-4 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
-1.4 1.2000000000000002 -1.4 1.9532595962674313E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 1.2000000000000002 0.007165935525054486 1.2754076295260396E-9 7.318024188804728E-4 0.48675225595997157
-1.4 1.2000000000000002 3.8 0.9534088270515392 1.2754076295260396E-9 0.19789869908361474 0.48675225595997157
-1.4 1.2000000000000002 6.4 0.9534088270515392 1.2754076295260396E-9 0.19789869908361474 0.48675225595997157
-1.4 3.8 -4.0 0.05592821568344743 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
-1.4 3.8 -1.4 0.05593232172333802 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 1.2000000000000002 1.5550452747415202 1.2754076295260396E-9 7.318024188804728E-4 7.318024188804728E-4
-1.4 3.8 3.8 2.993347126786305 1.2754076295260396E-9 0.48675225595997157 7.318024188804728E-4
-1.4 3.8 6.4 2.9920305992170753 1.2754076295260396E-9 0.37531109885139935 7.318024188804728E-4
-1.4 6.4 -4.0 1.274193733749591 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
-1.4 6.4 -1.4 2.4934999999999605 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 1.2000000000000002 2.9999895280198197 1.2754076295260396E-9 7.318024188804728E-4 1.2754076295260396E-9
-1.4 6.4 3.8 3.0000085271004036 1.2754076295260396E-9 0.003088715408236766 1.2754076295260396E-9
-1.4 6.4 6.4 3.0000085271004036 1.2754076295260396E-9 0.003088715408236766 1.2754076295260396E-9
1.2000000000000002 -4.0 -4.0 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
1.2000000000000002 -4.0 -1.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
1.2000000000000002 -4.0 1.2000000000000002 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
1.2000000000000002 -4.0 3.8 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
1.2000000000000002 -4.0 6.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
1.2000000000000002 -1.4 -4.0 2.1440130067640695E-4 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
1.2000000000000002 -1.4 -1.4 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
1.2000000000000002 -1.4 1.2000000000000002 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
1.2000000000000002 -1.4 3.8 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
1.2000000000000002 -1.4 6.4 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
1.2000000000000002 1.2000000000000002 -4.0 1.9531210161944423E-4 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
1.2000000000000002 1.2000000000000002 -1.4 1.9532595962674313E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
1.2000000000000002 1.2000000000000002 1.2000000000000002 0.013466242916050405 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 3.8 0.9575577777095805 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
1.2000000000000002 1.2000000000000002 6.4 0.9575577777095805 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
1.2000000000000002 3.8 -4.0 0.05592821568344743 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
1.2000000000000002 3.8 -1.4 0.05593232172333802 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
1.2000000000000002 3.8 1.2000000000000002 2.4969922645135156 7.318024188804728E-4 7.318024188804728E-4 7.318024188804728E-4
1.2000000000000002 3.8 3.8 2.997287292052104 7.318024188804728E-4 0.48675225595997157 7.318024188804728E-4
1.2000000000000002 3.8 6.4 2.996753318597033 7.318024188804728E-4 0.37531109885139935 7.318024188804728E-4
1.2000000000000002 6.4 -4.0 1.274193733749591 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
1.2000000000000002 6.4 -1.4 2.4934999999999605 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
1.2000000000000002 6.4 1.2000000000000002 3.9416994880514222 7.318024188804728E-4 7.318024188804728E-4 1.2754076295260396E-9
1.2000000000000002 6.4 3.8 3.285807095912562 7.318024188804728E-4 0.003088715408236766 1.2754076295260396E-9
1.2000000000000002 6.4 6.4 3.285807095912562 7.318024188804728E-4 0.003088715408236766 1.2754076295260396E-9
3.8 -4.0 -4.0 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
3.8 -4.0 -1.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
3.8 -4.0 1.2000000000000002 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
3.8 -4.0 3.8 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
3.8 -4.0 6.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
3.8 -1.4 -4.0 2.1440130067640695E-4 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
3.8 -1.4 -1.4 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
3.8 -1.4 3.8 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
3.8 -1.4 6.4 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
3.8 1.2000000000000002 -4.0 1.9531210161944423E-4 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
3.8 1.2000000000000002 -1.4 1.9532595962674313E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 0.013466242916050405 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
3.8 1.2000000000000002 3.8 0.9575577777095805 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
3.8 1.2000000000000002 6.4 0.9575577777095805 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
3.8 3.8 -4.0 0.05592821568344743 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
3.8 3.8 -1.4 0.05593232172333802 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
3.8 3.8 1.2000000000000002 2.4969922645135156 7.318024188804728E-4 7.318024188804728E-4 7.318024188804728E-4
3.8 3.8 3.8 3.994789184782769 0.48675225595997157 0.48675225595997157 7.318024188804728E-4
3.8 3.8 6.4 3.99359436150837 0.37531109885139935 0.37531109885139935 7.318024188804728E-4
3.8 6.4 -4.0 1.274193733749591 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
3.8 6.4 -1.4 2.4934999999999605 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 3.9416994880514222 7.318024188804728E-4 7.318024188804728E-4 1.2754076295260396E-9
3.8 6.4 3.8 4.980025078729596 0.37531109885139935 0.003088715408236766 1.2754076295260396E-9
3.8 6.4 6.4 4.980025078729596 0.37531109885139935 0.003088715408236766 1.2754076295260396E-9
6.4 -4.0 -4.0 0.11814588732224174 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
6.4 -4.0 -1.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
6.4 -4.0 3.8 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
6.4 -4.0 6.4 0.11814600922885106 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
6.4 -1.4 -4.0 2.1440130067640695E-4 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
6.4 -1.4 -1.4 2.1441791333979342E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
6.4 -1.4 3.8 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
6.4 -1.4 6.4 0.0010024559404113941 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
6.4 1.2000000000000002 -4.0 1.9531210161944423E-4 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
6.4 1.2000000000000002 -1.4 1.9532595962674313E-4 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 0.013466242916050405 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
6.4 1.2000000000000002 3.8 0.9575577777095805 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
6.4 1.2000000000000002 6.4 0.9575577777095805 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
6.4 3.8 -4.0 0.05592821568344743 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
6.4 3.8 -1.4 0.05593232172333802 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
6.4 3.8 1.2000000000000002 2.4969922645135156 7.318024188804728E-4 7.318024188804728E-4 7.318024188804728E-4
6.4 3.8 3.8 3.878487887632338 0.37531109885139935 0.48675225595997157 7.318024188804728E-4
6.4 3.8 6.4 3.99359436150837 0.37531109885139935 0.37531109885139935 7.318024188804728E-4
6.4 6.4 -4.0 1.274193733749591 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
6.4 6.4 -1.4 2.4934999999999605 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 3.9416994880514222 7.318024188804728E-4 7.318024188804728E-4 1.2754076295260396E-9
6.4 6.4 3.8 4.980025078729596 0.37531109885139935 0.003088715408236766 1.2754076295260396E-9
6.4 6.4 6.4 4.980025078729596 0.37531109885139935 0.003088715408236766 1.2754076295260396E-9

85
Examples/jFuzzyLogic/trust/MamdaniManyRules.fcl
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@ -1,85 +0,0 @@
FUNCTION_BLOCK MamdaniTrustManyRules
VAR_INPUT
WTV : REAL;
OW : REAL;
AC : REAL;
END_VAR
VAR_OUTPUT
trustworthiness : REAL;
END_VAR
FUZZIFY WTV
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for WTV
END_FUZZIFY
FUZZIFY OW
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for OW
END_FUZZIFY
FUZZIFY AC
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for AC
END_FUZZIFY
DEFUZZIFY trustworthiness
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
METHOD : COG;
DEFAULT := 0;
RANGE := (-4.0 .. 9.0); // Added range for trustworthiness
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : MIN;
RULE 1 : IF WTV IS fully AND AC IS high THEN trustworthiness IS fully;
RULE 2 : IF WTV IS fully AND AC IS medium THEN trustworthiness IS fully WITH 0.8;
RULE 3 : IF WTV IS fully AND AC IS low THEN trustworthiness IS fully WITH 0.6;
RULE 4 : IF WTV IS largely AND AC IS high AND OW IS NOT high THEN trustworthiness IS fully;
RULE 5 : IF WTV IS largely AND AC IS medium AND OW IS NOT high THEN trustworthiness IS fully WITH 0.66;
RULE 6 : IF WTV IS largely AND AC IS low AND OW IS NOT high THEN trustworthiness IS largely WITH 0.33;
RULE 7 : IF WTV IS largely AND AC IS high AND OW IS high THEN trustworthiness IS largely WITH 0.66;
RULE 8 : IF WTV IS largely AND AC IS medium AND OW IS high THEN trustworthiness IS largely WITH 0.33;
RULE 9 : IF WTV IS largely AND AC IS low AND OW IS high THEN trustworthiness IS largely WITH 0.1;
RULE 10 : IF WTV IS satISfactory AND AC IS high THEN trustworthiness IS largely;
RULE 11 : IF WTV IS satISfactory AND AC IS medium THEN trustworthiness IS largely WITH 0.66;
RULE 12 : IF WTV IS satISfactory AND AC IS low THEN trustworthiness IS satISfactory WITH 0.33;
RULE 13 : IF WTV IS satISfactory AND AC IS high AND OW IS high THEN trustworthiness IS satISfactory;
RULE 14 : IF WTV IS satISfactory AND AC IS medium AND OW IS high THEN trustworthiness IS satISfactory WITH 0.66;
RULE 15 : IF WTV IS satISfactory AND AC IS low AND OW IS high THEN trustworthiness IS satISfactory WITH 0.33;
RULE 16 : IF WTV IS satISfactory AND AC IS high AND OW IS NOT high THEN trustworthiness IS satISfactory WITH 0.5;
RULE 17 : IF WTV IS satISfactory AND AC IS medium AND OW IS NOT high THEN trustworthiness IS satISfactory WITH 0.7;
RULE 18 : IF WTV IS satISfactory AND AC IS low AND OW IS NOT high THEN trustworthiness IS satISfactory WITH 0.9;
RULE 19 : IF WTV IS partially AND AC IS high AND OW IS high THEN trustworthiness IS satISfactory;
RULE 20 : IF WTV IS partially AND AC IS medium AND OW IS high THEN trustworthiness IS satISfactory WITH 0.33;
RULE 21 : IF WTV IS partially AND AC IS low AND OW IS high THEN trustworthiness IS partially WITH 0.66;
RULE 22 : IF WTV IS partially AND AC IS high AND OW IS NOT high THEN trustworthiness IS partially WITH 0.6;
RULE 23 : IF WTV IS partially AND AC IS medium AND OW IS NOT high THEN trustworthiness IS partially WITH 0.75;
RULE 24 : IF WTV IS partially AND AC IS low AND OW IS NOT high THEN trustworthiness IS partially WITH 0.9;
RULE 25 : IF WTV IS minimal AND AC IS high AND OW IS high THEN trustworthiness IS minimal WITH 0.5;
RULE 26 : IF WTV IS minimal AND AC IS medium AND OW IS high THEN trustworthiness IS minimal WITH 0.3;
RULE 27 : IF WTV IS minimal AND AC IS low AND OW IS high THEN trustworthiness IS minimal WITH 0.1;
RULE 28 : IF WTV IS minimal AND AC IS high AND OW IS NOT high THEN trustworthiness IS minimal WITH 0.4;
RULE 29 : IF WTV IS minimal AND AC IS medium AND OW IS NOT high THEN trustworthiness IS nothing WITH 0.8;
RULE 30 : IF WTV IS minimal AND AC IS low AND OW IS NOT high THEN trustworthiness IS nothing WITH 0.95;
RULE 31 : IF WTV IS nothing THEN trustworthiness IS nothing;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/trust/MamdaniManyRules.fld
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@ -1,126 +0,0 @@
AC WTV OW trustworthiness No1.1 No1.2 No1.3 No1.4 No1.5 No1.6 No1.7 No1.8 No1.9 No1.10 No1.11 No1.12 No1.13 No1.14 No1.15 No1.16 No1.17 No1.18 No1.19 No1.20 No1.21 No1.22 No1.23 No1.24 No1.25 No1.26 No1.27 No1.28 No1.29 No1.30 No1.31
-4.0 -4.0 -4.0 0.11821587903342956 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 1.602814391951887E-11 2.0607613610809977E-11 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 1.5460542654929886E-18 5.018689568469586E-10 1.3706981770241366E-8 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 5.353268873034226E-10 3.5403205134747374E-6 3.3546262790251185E-4
-4.0 -4.0 -1.4 0.1182160143017219 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 4.179174631201078E-15 1.2664165549094177E-15 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 1.2883785545774905E-18 1.602814391951887E-11 2.0607613610809977E-11 2.576757109154981E-18 2.208223410126618E-10 8.417690354871861E-10 1.5460542654929886E-18 5.018689568469586E-10 1.3706981770241366E-8 1.2883785545774905E-18 2.0074758273878343E-10 1.2754076295260396E-10 1.0307028436619925E-18 5.353268873034226E-10 3.5403205134747374E-6 3.3546262790251185E-4
-4.0 -4.0 1.2000000000000002 0.11899213161348593 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 4.179174631201078E-15 1.2664165549094177E-15 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 1.2883785545774905E-18 1.602814391951887E-11 2.0607613610809977E-11 2.576757109154981E-18 2.208223410126618E-10 1.0051786631510336E-8 1.5460542654929886E-18 5.018689568469586E-10 1.3706981770241366E-8 1.2883785545774905E-18 2.0074758273878343E-10 3.726653172078671E-7 1.0307028436619925E-18 5.353268873034226E-10 3.5403205134747374E-6 3.3546262790251185E-4
-4.0 -4.0 3.8 0.11899213161348593 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 4.179174631201078E-15 1.2664165549094177E-15 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 1.2883785545774905E-18 1.602814391951887E-11 2.0607613610809977E-11 2.576757109154981E-18 2.208223410126618E-10 1.0051786631510336E-8 1.5460542654929886E-18 5.018689568469586E-10 1.3706981770241366E-8 1.2883785545774905E-18 2.0074758273878343E-10 3.726653172078671E-7 1.0307028436619925E-18 5.353268873034226E-10 3.5403205134747374E-6 3.3546262790251185E-4
-4.0 -4.0 6.4 0.11899213161348593 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 4.179174631201078E-15 1.2664165549094177E-15 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 1.2883785545774905E-18 1.602814391951887E-11 2.0607613610809977E-11 2.576757109154981E-18 2.208223410126618E-10 1.0051786631510336E-8 1.5460542654929886E-18 5.018689568469586E-10 1.3706981770241366E-8 1.2883785545774905E-18 2.0074758273878343E-10 3.726653172078671E-7 1.0307028436619925E-18 5.353268873034226E-10 3.5403205134747374E-6 3.3546262790251185E-4
-4.0 -1.4 -4.0 0.0026719733718906275 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 4.684110263904947E-10 5.626935339733814E-5 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 1.5460542654929886E-18 5.018689568469586E-10 3.019163651122607E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 5.353268873034226E-10 3.1868949650738624E-4 0.37531109885139957
-4.0 -1.4 -1.4 0.0026719733718906275 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 2.208223410126618E-10 1.2754076295260396E-10 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 4.416446820253236E-10 4.2088451774359307E-10 1.2883785545774905E-18 4.684110263904947E-10 5.626935339733814E-5 2.576757109154981E-18 2.208223410126618E-10 8.417690354871861E-10 1.5460542654929886E-18 5.018689568469586E-10 3.019163651122607E-4 1.2883785545774905E-18 2.0074758273878343E-10 1.2754076295260396E-10 1.0307028436619925E-18 5.353268873034226E-10 3.1868949650738624E-4 0.37531109885139957
-4.0 -1.4 1.2000000000000002 0.0026719733718906275 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 2.208223410126618E-10 4.6557157157830784E-8 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.2883785545774905E-18 4.684110263904947E-10 5.626935339733814E-5 2.576757109154981E-18 2.208223410126618E-10 2.2140533441565783E-4 1.5460542654929886E-18 5.018689568469586E-10 3.019163651122607E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 5.353268873034226E-10 3.1868949650738624E-4 0.37531109885139957
-4.0 -1.4 3.8 0.0026719733718906275 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 2.208223410126618E-10 4.6557157157830784E-8 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.2883785545774905E-18 4.684110263904947E-10 5.626935339733814E-5 2.576757109154981E-18 2.208223410126618E-10 2.2140533441565783E-4 1.5460542654929886E-18 5.018689568469586E-10 3.019163651122607E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 5.353268873034226E-10 3.1868949650738624E-4 0.37531109885139957
-4.0 -1.4 6.4 0.0026719733718906275 2.576757109154981E-18 5.353268873034226E-10 7.652445777156238E-10 2.576757109154981E-18 4.416446820253236E-10 1.536386186208416E-7 1.7006596920422875E-18 2.208223410126618E-10 4.6557157157830784E-8 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 2.576757109154981E-18 4.416446820253236E-10 2.0632096245690652E-5 1.2883785545774905E-18 4.684110263904947E-10 5.626935339733814E-5 2.576757109154981E-18 2.208223410126618E-10 2.2140533441565783E-4 1.5460542654929886E-18 5.018689568469586E-10 3.019163651122607E-4 1.2883785545774905E-18 2.0074758273878343E-10 3.354626279025119E-5 1.0307028436619925E-18 5.353268873034226E-10 3.1868949650738624E-4 0.37531109885139957
-4.0 1.2000000000000002 -4.0 0.004723883399507445 2.576757109154981E-18 5.353268873034226E-10 2.012775767415071E-4 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 4.416446820253236E-10 1.1070266720782891E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 4.684110263904947E-10 3.019163651122607E-4 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 1.5460542654929886E-18 5.018689568469586E-10 3.019163651122607E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 5.353268873034226E-10 3.1868949650738624E-4 0.48675225595997157
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1.2000000000000002 6.4 1.2000000000000002 4.9341082622086905 7.318024188804728E-4 0.3002488790811195 0.2251866593108396 7.318024188804728E-4 0.03704894347052823 0.018524471735264114 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 3.659012094402364E-4 0.002162100785765736 0.0027798438674130894 6.252150377482015E-5 2.0632096245690652E-5 4.1264192491381304E-5 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
1.2000000000000002 6.4 3.8 4.9341082622086905 7.318024188804728E-4 0.3002488790811195 0.2251866593108396 7.318024188804728E-4 0.03704894347052823 0.018524471735264114 4.829895964611121E-4 0.018524471735264114 0.005613476283413368 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 3.659012094402364E-4 0.002162100785765736 0.0027798438674130894 6.252150377482015E-5 2.0632096245690652E-5 4.1264192491381304E-5 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
1.2000000000000002 6.4 6.4 4.9341082622086905 7.318024188804728E-4 0.3002488790811195 0.2251866593108396 7.318024188804728E-4 0.03704894347052823 0.018524471735264114 4.829895964611121E-4 0.018524471735264114 0.005613476283413368 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 7.318024188804728E-4 0.0020385521694362657 0.0010192760847181328 3.659012094402364E-4 0.002162100785765736 0.0027798438674130894 6.252150377482015E-5 2.0632096245690652E-5 4.1264192491381304E-5 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
3.8 -4.0 -4.0 0.12128052218537347 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 9.137987846827578E-9 1.1422484808534473E-8 1.3706981770241366E-8 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.4906612688314684E-6 2.9813225376629368E-6 3.5403205134747374E-6 3.3546262790251185E-4
3.8 -4.0 -1.4 0.12128228598872379 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 9.137987846827578E-9 1.1422484808534473E-8 1.3706981770241366E-8 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 1.4906612688314684E-6 2.9813225376629368E-6 3.5403205134747374E-6 3.3546262790251185E-4
3.8 -4.0 1.2000000000000002 0.12206865304093126 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 1.0051786631510336E-8 9.137987846827578E-9 1.1422484808534473E-8 1.3706981770241366E-8 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 2.9813225376629368E-6 3.5403205134747374E-6 3.3546262790251185E-4
3.8 -4.0 3.8 0.12206865304093126 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 1.0051786631510336E-8 9.137987846827578E-9 1.1422484808534473E-8 1.3706981770241366E-8 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 2.9813225376629368E-6 3.5403205134747374E-6 3.3546262790251185E-4
3.8 -4.0 6.4 0.12206865304093126 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 1.0051786631510336E-8 9.137987846827578E-9 1.1422484808534473E-8 1.3706981770241366E-8 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 2.9813225376629368E-6 3.5403205134747374E-6 3.3546262790251185E-4
3.8 -1.4 -4.0 0.06339896610180008 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 -1.4 -1.4 0.06339896610180008 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.06630485529036885 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 7.318024188804728E-4 2.4149479823055604E-4 4.829895964611121E-4 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 3.659012094402364E-4 2.1954072566414182E-4 7.318024188804729E-5 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 -1.4 3.8 0.09016420293594168 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 0.0030887154082367718 0.0010192760847181348 4.829895964611121E-4 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 0.028067381417066863 0.016840428850240115 7.318024188804729E-5 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 -1.4 6.4 0.09016420293594168 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 0.0030887154082367718 0.0010192760847181348 4.829895964611121E-4 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 0.028067381417066863 0.016840428850240115 7.318024188804729E-5 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 1.2000000000000002 -4.0 1.4890107656972384 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 1.2000000000000002 -1.4 1.4890107656972384 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 1.4890107656972384 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 7.318024188804728E-4 2.4149479823055604E-4 4.829895964611121E-4 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 3.659012094402364E-4 2.1954072566414182E-4 7.318024188804729E-5 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 1.2000000000000002 3.8 1.7856294634227654 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 0.013095122531284397 0.006547561265642199 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 0.48675225595997157 0.14175392820954397 4.829895964611121E-4 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 1.2000000000000002 6.4 1.671673800335508 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 0.013095122531284397 0.006547561265642199 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 0.37531109885139935 0.1238526626209618 4.829895964611121E-4 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 0.18765554942569967 0.1125933296554198 7.318024188804729E-5 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 3.8 -4.0 3.843335867683807 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 3.8 -1.4 3.843335867683807 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 3.8 1.2000000000000002 3.843335867683807 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 7.318024188804728E-4 2.4149479823055604E-4 4.829895964611121E-4 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 3.659012094402364E-4 2.1954072566414182E-4 7.318024188804729E-5 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 3.8 3.8 3.733446363865519 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.3212564889335813 0.14175392820954397 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 0.19789869908361474 0.06530657069759287 4.829895964611121E-4 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 0.009920547372185149 0.005952328423311089 7.318024188804729E-5 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 3.8 6.4 3.7946881788966484 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.2477053252419236 0.1238526626209618 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.37531109885139935 0.2477053252419236 2.4149479823055604E-4 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 0.19789869908361474 0.06530657069759287 4.829895964611121E-4 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 0.009920547372185149 0.005952328423311089 7.318024188804729E-5 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 6.4 -4.0 4.982875937365356 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
3.8 6.4 -1.4 4.982875937365356 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 4.982875937365356 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 6.252150377482015E-5 2.0632096245690652E-5 4.1264192491381304E-5 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
3.8 6.4 3.8 4.9042678629781244 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 0.03704894347052823 0.018524471735264114 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 6.252150377482015E-5 2.0632096245690652E-5 4.1264192491381304E-5 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
3.8 6.4 6.4 4.9042678629781244 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 0.03704894347052823 0.018524471735264114 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 6.252150377482015E-5 2.0632096245690652E-5 4.1264192491381304E-5 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
6.4 -4.0 -4.0 0.1212744024386403 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -4.0 -1.4 0.12127616624469809 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 0.12206865304093126 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 8.417690354871861E-10 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -4.0 3.8 0.12206865304093126 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 8.417690354871861E-10 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -4.0 6.4 0.12206865304093126 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 8.417690354871861E-10 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -1.4 -4.0 0.06184925957820933 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 -1.4 -1.4 0.06184925957820933 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.06475675839588418 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 7.318024188804728E-4 1.643252890960801E-4 8.417690354871861E-10 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 3.659012094402364E-4 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 -1.4 3.8 0.09016420293594168 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 0.0030887154082367718 1.643252890960801E-4 8.417690354871861E-10 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 0.028067381417066863 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 -1.4 6.4 0.09016420293594168 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 0.0030887154082367718 1.643252890960801E-4 8.417690354871861E-10 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 0.028067381417066863 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 1.2000000000000002 -4.0 1.405595580103225 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 1.2000000000000002 -1.4 1.405595580103225 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 1.405595580103225 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 4.829895964611121E-4 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 7.318024188804728E-4 1.643252890960801E-4 8.417690354871861E-10 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 3.659012094402364E-4 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 1.2000000000000002 3.8 1.671673800335508 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 0.013095122531284397 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 0.37531109885139935 1.643252890960801E-4 8.417690354871861E-10 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 1.2000000000000002 6.4 1.671673800335508 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 0.013095122531284397 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 0.37531109885139935 1.643252890960801E-4 8.417690354871861E-10 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 3.8 -4.0 3.9393014423745836 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 3.8 -1.4 3.9393014423745836 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 3.8 1.2000000000000002 3.9393014423745836 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 4.829895964611121E-4 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 7.318024188804728E-4 1.643252890960801E-4 8.417690354871861E-10 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 3.659012094402364E-4 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 3.8 3.8 3.770802817936482 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.2477053252419236 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 0.19789869908361474 1.643252890960801E-4 8.417690354871861E-10 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 0.009920547372185149 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 3.8 6.4 3.770802817936482 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.2477053252419236 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 0.19789869908361474 1.643252890960801E-4 8.417690354871861E-10 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 0.009920547372185149 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 6.4 -4.0 4.985049098493575 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9
6.4 6.4 -1.4 4.985049098493575 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 4.985049098493575 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 4.829895964611121E-4 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 6.252150377482015E-5 2.0632096245690652E-5 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9
6.4 6.4 3.8 4.904311031631794 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 0.03704894347052823 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 6.252150377482015E-5 2.0632096245690652E-5 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9
6.4 6.4 6.4 4.904311031631794 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 0.03704894347052823 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 6.252150377482015E-5 2.0632096245690652E-5 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9

57
Examples/jFuzzyLogic/trust/SingletonFewRules.fcl
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@ -1,57 +0,0 @@
FUNCTION_BLOCK LarsenTrustFewRules
VAR_INPUT
WTV : REAL;
OW : REAL;
AC : REAL;
END_VAR
VAR_OUTPUT
trustworthiness : REAL;
END_VAR
FUZZIFY WTV
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for WTV
END_FUZZIFY
FUZZIFY OW
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for OW
END_FUZZIFY
FUZZIFY AC
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for AC
END_FUZZIFY
DEFUZZIFY trustworthiness
TERM nothing := 0;
TERM minimal := 1;
TERM partially := 2;
TERM satISfactory := 3;
TERM largely := 4;
TERM fully := 5;
METHOD : COGS;
DEFAULT := 0;
RANGE := (0.0 .. 5.0); // Added range for trustworthiness
END_DEFUZZIFY
RULEBLOCK No1
ACCU : MAX;
AND : MIN;
RULE 1 : IF WTV IS fully AND OW IS high AND AC IS high THEN trustworthiness IS fully;
RULE 2 : IF WTV IS satISfactory AND OW IS high THEN trustworthiness IS satISfactory;
RULE 3 : IF WTV IS nothing AND AC IS NOT low THEN trustworthiness IS nothing;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/trust/SingletonFewRules.fld
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@ -1,126 +0,0 @@
AC WTV OW trustworthiness No1.1 No1.2 No1.3
-4.0 -4.0 -4.0 6.14496374816158E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-4.0 -4.0 -1.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-4.0 -4.0 1.2000000000000002 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-4.0 -4.0 3.8 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-4.0 -4.0 6.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-4.0 -1.4 -4.0 5.4925252507391914E-17 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
-4.0 -1.4 -1.4 1.0194803458168783E-8 2.576757109154981E-18 1.2754076295260396E-9 0.37531109885139957
-4.0 -1.4 1.2000000000000002 4.996741943320413E-4 2.576757109154981E-18 6.252150377482015E-5 0.37531109885139957
-4.0 -1.4 3.8 4.996741943320413E-4 2.576757109154981E-18 6.252150377482015E-5 0.37531109885139957
-4.0 -1.4 6.4 4.996741943320413E-4 2.576757109154981E-18 6.252150377482015E-5 0.37531109885139957
-4.0 1.2000000000000002 -4.0 4.235020304648585E-17 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
-4.0 1.2000000000000002 -1.4 7.860719379492583E-9 2.576757109154981E-18 1.2754076295260396E-9 0.48675225595997157
-4.0 1.2000000000000002 1.2000000000000002 0.004503546770211002 2.576757109154981E-18 7.318024188804728E-4 0.48675225595997157
-4.0 1.2000000000000002 3.8 0.8671514921249884 2.576757109154981E-18 0.19789869908361474 0.48675225595997157
-4.0 1.2000000000000002 6.4 0.8671514921249884 2.576757109154981E-18 0.19789869908361474 0.48675225595997157
-4.0 3.8 -4.0 2.8168883214099693E-14 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
-4.0 3.8 -1.4 5.2284826263196654E-6 2.576757109154981E-18 1.2754076295260396E-9 7.318024188804728E-4
-4.0 3.8 1.2000000000000002 1.500000000000006 2.576757109154981E-18 7.318024188804728E-4 7.318024188804728E-4
-4.0 3.8 3.8 2.995496453229789 2.576757109154981E-18 0.48675225595997157 7.318024188804728E-4
-4.0 3.8 6.4 2.994161817044743 2.576757109154981E-18 0.37531109885139935 7.318024188804728E-4
-4.0 6.4 -4.0 1.616272030425718E-8 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
-4.0 6.4 -1.4 1.500000003535595 2.576757109154981E-18 1.2754076295260396E-9 1.2754076295260396E-9
-4.0 6.4 1.2000000000000002 2.999994771517398 2.576757109154981E-18 7.318024188804728E-4 1.2754076295260396E-9
-4.0 6.4 3.8 2.9999987612256884 2.576757109154981E-18 0.003088715408236766 1.2754076295260396E-9
-4.0 6.4 6.4 2.9999987612256884 2.576757109154981E-18 0.003088715408236766 1.2754076295260396E-9
-1.4 -4.0 -4.0 6.14496374816158E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
-1.4 -4.0 -1.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-1.4 -4.0 1.2000000000000002 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-1.4 -4.0 3.8 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-1.4 -4.0 6.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
-1.4 -1.4 -4.0 5.4925252507391914E-17 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
-1.4 -1.4 -1.4 2.7186142371188878E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
-1.4 -1.4 1.2000000000000002 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
-1.4 -1.4 3.8 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
-1.4 -1.4 6.4 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
-1.4 1.2000000000000002 -4.0 4.235020304648585E-17 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
-1.4 1.2000000000000002 -1.4 2.0961918219804633E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
-1.4 1.2000000000000002 1.2000000000000002 0.004503559839959952 1.2754076295260396E-9 7.318024188804728E-4 0.48675225595997157
-1.4 1.2000000000000002 3.8 0.867151499823899 1.2754076295260396E-9 0.19789869908361474 0.48675225595997157
-1.4 1.2000000000000002 6.4 0.867151499823899 1.2754076295260396E-9 0.19789869908361474 0.48675225595997157
-1.4 3.8 -4.0 2.8168883214099693E-14 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
-1.4 3.8 -1.4 1.3942595990364214E-5 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
-1.4 3.8 1.2000000000000002 1.5000030499508459 1.2754076295260396E-9 7.318024188804728E-4 7.318024188804728E-4
-1.4 3.8 3.8 2.9954964584741846 1.2754076295260396E-9 0.48675225595997157 7.318024188804728E-4
-1.4 3.8 6.4 2.9941618238478536 1.2754076295260396E-9 0.37531109885139935 7.318024188804728E-4
-1.4 6.4 -4.0 1.616272030425718E-8 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
-1.4 6.4 -1.4 2.666666666666667 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
-1.4 6.4 1.2000000000000002 2.9999982571755006 1.2754076295260396E-9 7.318024188804728E-4 1.2754076295260396E-9
-1.4 6.4 3.8 2.9999995870753993 1.2754076295260396E-9 0.003088715408236766 1.2754076295260396E-9
-1.4 6.4 6.4 2.9999995870753993 1.2754076295260396E-9 0.003088715408236766 1.2754076295260396E-9
1.2000000000000002 -4.0 -4.0 6.14496374816158E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
1.2000000000000002 -4.0 -1.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
1.2000000000000002 -4.0 1.2000000000000002 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
1.2000000000000002 -4.0 3.8 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
1.2000000000000002 -4.0 6.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
1.2000000000000002 -1.4 -4.0 5.4925252507391914E-17 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
1.2000000000000002 -1.4 -1.4 2.7186142371188878E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
1.2000000000000002 -1.4 1.2000000000000002 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
1.2000000000000002 -1.4 3.8 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
1.2000000000000002 -1.4 6.4 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
1.2000000000000002 1.2000000000000002 -4.0 4.235020304648585E-17 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
1.2000000000000002 1.2000000000000002 -1.4 2.0961918219804633E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
1.2000000000000002 1.2000000000000002 1.2000000000000002 0.01199145669187766 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
1.2000000000000002 1.2000000000000002 3.8 0.8715642505464681 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
1.2000000000000002 1.2000000000000002 6.4 0.8715642505464681 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
1.2000000000000002 3.8 -4.0 2.8168883214099693E-14 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
1.2000000000000002 3.8 -1.4 1.3942595990364214E-5 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
1.2000000000000002 3.8 1.2000000000000002 2.666666666666667 7.318024188804728E-4 7.318024188804728E-4 7.318024188804728E-4
1.2000000000000002 3.8 3.8 2.998501067913516 7.318024188804728E-4 0.48675225595997157 7.318024188804728E-4
1.2000000000000002 3.8 6.4 2.9980577188125554 7.318024188804728E-4 0.37531109885139935 7.318024188804728E-4
1.2000000000000002 6.4 -4.0 1.616272030425718E-8 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
1.2000000000000002 6.4 -1.4 2.666666666666667 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
1.2000000000000002 6.4 1.2000000000000002 3.99999651434189 7.318024188804728E-4 7.318024188804728E-4 1.2754076295260396E-9
1.2000000000000002 6.4 3.8 3.3830895677424584 7.318024188804728E-4 0.003088715408236766 1.2754076295260396E-9
1.2000000000000002 6.4 6.4 3.3830895677424584 7.318024188804728E-4 0.003088715408236766 1.2754076295260396E-9
3.8 -4.0 -4.0 6.14496374816158E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
3.8 -4.0 -1.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
3.8 -4.0 1.2000000000000002 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
3.8 -4.0 3.8 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
3.8 -4.0 6.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
3.8 -1.4 -4.0 5.4925252507391914E-17 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
3.8 -1.4 -1.4 2.7186142371188878E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
3.8 -1.4 1.2000000000000002 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
3.8 -1.4 3.8 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
3.8 -1.4 6.4 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
3.8 1.2000000000000002 -4.0 4.235020304648585E-17 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
3.8 1.2000000000000002 -1.4 2.0961918219804633E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 0.01199145669187766 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
3.8 1.2000000000000002 3.8 0.8715642505464681 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
3.8 1.2000000000000002 6.4 0.8715642505464681 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
3.8 3.8 -4.0 2.8168883214099693E-14 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
3.8 3.8 -1.4 1.3942595990364214E-5 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
3.8 3.8 1.2000000000000002 2.666666666666667 7.318024188804728E-4 7.318024188804728E-4 7.318024188804728E-4
3.8 3.8 3.8 3.9969953802455946 0.48675225595997157 0.48675225595997157 7.318024188804728E-4
3.8 3.8 6.4 3.996104087187866 0.37531109885139935 0.37531109885139935 7.318024188804728E-4
3.8 6.4 -4.0 1.616272030425718E-8 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
3.8 6.4 -1.4 2.666666666666667 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 3.99999651434189 7.318024188804728E-4 7.318024188804728E-4 1.2754076295260396E-9
3.8 6.4 3.8 4.983674840896059 0.37531109885139935 0.003088715408236766 1.2754076295260396E-9
3.8 6.4 6.4 4.983674840896059 0.37531109885139935 0.003088715408236766 1.2754076295260396E-9
6.4 -4.0 -4.0 6.14496374816158E-14 2.576757109154981E-18 2.576757109154981E-18 3.3546262790251185E-4
6.4 -4.0 -1.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
6.4 -4.0 3.8 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
6.4 -4.0 6.4 2.0476812571940782E-7 2.576757109154981E-18 2.289734845645553E-11 3.3546262790251185E-4
6.4 -1.4 -4.0 5.4925252507391914E-17 2.576757109154981E-18 2.576757109154981E-18 0.37531109885139957
6.4 -1.4 -1.4 2.7186142371188878E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.37531109885139957
6.4 -1.4 1.2000000000000002 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
6.4 -1.4 3.8 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
6.4 -1.4 6.4 4.996911811432583E-4 1.2754076295260396E-9 6.252150377482015E-5 0.37531109885139957
6.4 1.2000000000000002 -4.0 4.235020304648585E-17 2.576757109154981E-18 2.576757109154981E-18 0.48675225595997157
6.4 1.2000000000000002 -1.4 2.0961918219804633E-8 1.2754076295260396E-9 1.2754076295260396E-9 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 0.01199145669187766 7.318024188804728E-4 7.318024188804728E-4 0.48675225595997157
6.4 1.2000000000000002 3.8 0.8715642505464681 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
6.4 1.2000000000000002 6.4 0.8715642505464681 7.318024188804728E-4 0.19789869908361474 0.48675225595997157
6.4 3.8 -4.0 2.8168883214099693E-14 2.576757109154981E-18 2.576757109154981E-18 7.318024188804728E-4
6.4 3.8 -1.4 1.3942595990364214E-5 1.2754076295260396E-9 1.2754076295260396E-9 7.318024188804728E-4
6.4 3.8 1.2000000000000002 2.666666666666667 7.318024188804728E-4 7.318024188804728E-4 7.318024188804728E-4
6.4 3.8 3.8 3.8674443570693646 0.37531109885139935 0.48675225595997157 7.318024188804728E-4
6.4 3.8 6.4 3.996104087187866 0.37531109885139935 0.37531109885139935 7.318024188804728E-4
6.4 6.4 -4.0 1.616272030425718E-8 2.576757109154981E-18 2.576757109154981E-18 1.2754076295260396E-9
6.4 6.4 -1.4 2.666666666666667 1.2754076295260396E-9 1.2754076295260396E-9 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 3.99999651434189 7.318024188804728E-4 7.318024188804728E-4 1.2754076295260396E-9
6.4 6.4 3.8 4.983674840896059 0.37531109885139935 0.003088715408236766 1.2754076295260396E-9
6.4 6.4 6.4 4.983674840896059 0.37531109885139935 0.003088715408236766 1.2754076295260396E-9

86
Examples/jFuzzyLogic/trust/SingletonManyRules.fcl
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@ -1,86 +0,0 @@
FUNCTION_BLOCK LarsenTrustManyRules
VAR_INPUT
WTV : REAL;
OW : REAL;
AC : REAL;
END_VAR
VAR_OUTPUT
trustworthiness : REAL;
END_VAR
FUZZIFY WTV
TERM nothing := GAUSS 0 1;
TERM minimal := GAUSS 1 1;
TERM partially := GAUSS 2 1;
TERM satISfactory := GAUSS 3 1;
TERM largely := GAUSS 4 1;
TERM fully := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for WTV
END_FUZZIFY
FUZZIFY OW
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for OW
END_FUZZIFY
FUZZIFY AC
TERM low := GAUSS 0 1;
TERM medium := GAUSS 2.5 1;
TERM high := GAUSS 5 1;
RANGE := (-4.0 .. 9.0); // Added range for AC
END_FUZZIFY
DEFUZZIFY trustworthiness
TERM nothing := 0;
TERM minimal := 1;
TERM partially := 2;
TERM satISfactory := 3;
TERM largely := 4;
TERM fully := 5;
METHOD : COGS;
DEFAULT := 0;
RANGE := (0.0 .. 5.0); // Added range for trustworthiness
END_DEFUZZIFY
RULEBLOCK No1
AND : MIN;
ACCU : MAX;
RULE 1 : IF WTV IS fully AND AC IS high THEN trustworthiness IS fully;
RULE 2 : IF WTV IS fully AND AC IS medium THEN trustworthiness IS fully WITH 0.8;
RULE 3 : IF WTV IS fully AND AC IS low THEN trustworthiness IS fully WITH 0.6;
RULE 4 : IF WTV IS largely AND AC IS high AND OW IS NOT high THEN trustworthiness IS fully;
RULE 5 : IF WTV IS largely AND AC IS medium AND OW IS NOT high THEN trustworthiness IS fully WITH 0.66;
RULE 6 : IF WTV IS largely AND AC IS low AND OW IS NOT high THEN trustworthiness IS largely WITH 0.33;
RULE 7 : IF WTV IS largely AND AC IS high AND OW IS high THEN trustworthiness IS largely WITH 0.66;
RULE 8 : IF WTV IS largely AND AC IS medium AND OW IS high THEN trustworthiness IS largely WITH 0.33;
RULE 9 : IF WTV IS largely AND AC IS low AND OW IS high THEN trustworthiness IS largely WITH 0.1;
RULE 10 : IF WTV IS satISfactory AND AC IS high THEN trustworthiness IS largely;
RULE 11 : IF WTV IS satISfactory AND AC IS medium THEN trustworthiness IS largely WITH 0.66;
RULE 12 : IF WTV IS satISfactory AND AC IS low THEN trustworthiness IS satISfactory WITH 0.33;
RULE 13 : IF WTV IS satISfactory AND AC IS high AND OW IS high THEN trustworthiness IS satISfactory;
RULE 14 : IF WTV IS satISfactory AND AC IS medium AND OW IS high THEN trustworthiness IS satISfactory WITH 0.66;
RULE 15 : IF WTV IS satISfactory AND AC IS low AND OW IS high THEN trustworthiness IS satISfactory WITH 0.33;
RULE 16 : IF WTV IS satISfactory AND AC IS high AND OW IS NOT high THEN trustworthiness IS satISfactory WITH 0.5;
RULE 17 : IF WTV IS satISfactory AND AC IS medium AND OW IS NOT high THEN trustworthiness IS satISfactory WITH 0.7;
RULE 18 : IF WTV IS satISfactory AND AC IS low AND OW IS NOT high THEN trustworthiness IS satISfactory WITH 0.9;
RULE 19 : IF WTV IS partially AND AC IS high AND OW IS high THEN trustworthiness IS satISfactory;
RULE 20 : IF WTV IS partially AND AC IS medium AND OW IS high THEN trustworthiness IS satISfactory WITH 0.33;
RULE 21 : IF WTV IS partially AND AC IS low AND OW IS high THEN trustworthiness IS partially WITH 0.66;
RULE 22 : IF WTV IS partially AND AC IS high AND OW IS NOT high THEN trustworthiness IS partially WITH 0.6;
RULE 23 : IF WTV IS partially AND AC IS medium AND OW IS NOT high THEN trustworthiness IS partially WITH 0.75;
RULE 24 : IF WTV IS partially AND AC IS low AND OW IS NOT high THEN trustworthiness IS partially WITH 0.9;
RULE 25 : IF WTV IS minimal AND AC IS high AND OW IS high THEN trustworthiness IS minimal WITH 0.5;
RULE 26 : IF WTV IS minimal AND AC IS medium AND OW IS high THEN trustworthiness IS minimal WITH 0.3;
RULE 27 : IF WTV IS minimal AND AC IS low AND OW IS high THEN trustworthiness IS minimal WITH 0.1;
RULE 28 : IF WTV IS minimal AND AC IS high AND OW IS NOT high THEN trustworthiness IS minimal WITH 0.4;
RULE 29 : IF WTV IS minimal AND AC IS medium AND OW IS NOT high THEN trustworthiness IS nothing WITH 0.8;
RULE 30 : IF WTV IS minimal AND AC IS low AND OW IS NOT high THEN trustworthiness IS nothing WITH 0.95;
RULE 31 : IF WTV IS nothing THEN trustworthiness IS nothing;
END_RULEBLOCK
END_FUNCTION_BLOCK

126
Examples/jFuzzyLogic/trust/SingletonManyRules.fld
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@ -1,126 +0,0 @@
AC WTV OW trustworthiness No1.1 No1.2 No1.3 No1.4 No1.5 No1.6 No1.7 No1.8 No1.9 No1.10 No1.11 No1.12 No1.13 No1.14 No1.15 No1.16 No1.17 No1.18 No1.19 No1.20 No1.21 No1.22 No1.23 No1.24 No1.25 No1.26 No1.27 No1.28 No1.29 No1.30 No1.31
-4.0 -4.0 -4.0 8.208112280456528E-5 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 2.576757109154981E-18 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.576757109154981E-18 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.2883785545774905E-18 1.602814391951887E-11 2.0607613610809977E-11 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 1.5460542654929886E-18 5.018689568469586E-10 1.3706981770241366E-8 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.0307028436619925E-18 5.353268873034226E-10 3.5403205134747374E-6 3.3546262790251185E-4
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3.8 -4.0 6.4 0.005740311046607863 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 1.0051786631510336E-8 9.137987846827578E-9 1.1422484808534473E-8 1.3706981770241366E-8 1.8633265860393355E-6 1.1179959516236013E-6 3.726653172078671E-7 1.4906612688314684E-6 2.9813225376629368E-6 3.5403205134747374E-6 3.3546262790251185E-4
3.8 -1.4 -4.0 0.06873599549883373 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 -1.4 -1.4 0.06873599549883373 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 -1.4 1.2000000000000002 0.07367558811216139 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 7.318024188804728E-4 2.4149479823055604E-4 4.829895964611121E-4 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 3.659012094402364E-4 2.1954072566414182E-4 7.318024188804729E-5 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 -1.4 3.8 0.10326367470558286 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 0.0030887154082367718 0.0010192760847181348 4.829895964611121E-4 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 0.028067381417066863 0.016840428850240115 7.318024188804729E-5 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 -1.4 6.4 0.10326367470558286 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 1.536386186208416E-7 3.072772372416832E-7 1.536386186208416E-7 4.6557157157830784E-8 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 6.252150377482015E-5 4.1264192491381304E-5 2.0632096245690652E-5 3.1260751887410076E-5 4.37650526423741E-5 5.626935339733814E-5 0.0030887154082367718 0.0010192760847181348 4.829895964611121E-4 0.001853229244942063 0.002316536556177579 6.586221769924255E-4 0.028067381417066863 0.016840428850240115 7.318024188804729E-5 0.02245390513365349 0.04490781026730698 6.952122979364491E-4 0.37531109885139957
3.8 1.2000000000000002 -4.0 1.5776455322679288 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 1.2000000000000002 -1.4 1.5776455322679288 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 1.2000000000000002 1.2000000000000002 1.5776455322679288 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 7.318024188804728E-4 2.4149479823055604E-4 4.829895964611121E-4 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 3.659012094402364E-4 2.1954072566414182E-4 7.318024188804729E-5 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 1.2000000000000002 3.8 1.8435738229230794 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 0.013095122531284397 0.006547561265642199 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 0.48675225595997157 0.14175392820954397 4.829895964611121E-4 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 0.24337612797998578 0.12886720746322178 7.318024188804729E-5 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 1.2000000000000002 6.4 1.788576728144589 7.318024188804728E-4 5.854419351043783E-4 4.3908145132828363E-4 0.019841094744370298 0.013095122531284397 2.4149479823055604E-4 0.013095122531284397 0.006547561265642199 7.318024188804729E-5 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.19789869908361474 0.13061314139518573 2.4149479823055604E-4 0.09894934954180737 0.1385290893585303 6.586221769924255E-4 0.37531109885139935 0.1238526626209618 4.829895964611121E-4 0.29205135357598294 0.32216801865805444 6.586221769924255E-4 0.18765554942569967 0.1125933296554198 7.318024188804729E-5 0.19470090238398863 0.3436458865685914 6.952122979364491E-4 0.48675225595997157
3.8 3.8 -4.0 3.863051074650122 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 3.8 -1.4 3.863051074650122 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 3.8 1.2000000000000002 3.863051074650122 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 7.318024188804728E-4 2.4149479823055604E-4 4.829895964611121E-4 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 3.659012094402364E-4 2.1954072566414182E-4 7.318024188804729E-5 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 3.8 3.8 3.7613292456632803 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.3212564889335813 0.14175392820954397 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 0.19789869908361474 0.06530657069759287 4.829895964611121E-4 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 0.009920547372185149 0.005952328423311089 7.318024188804729E-5 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 3.8 6.4 3.817036120584763 0.48675225595997157 0.3436458865685914 4.3908145132828363E-4 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.2477053252419236 0.1238526626209618 7.318024188804729E-5 0.48675225595997157 0.28350785641908793 2.4149479823055604E-4 0.37531109885139935 0.2477053252419236 2.4149479823055604E-4 0.24337612797998578 0.3006901507475175 6.586221769924255E-4 0.19789869908361474 0.06530657069759287 4.829895964611121E-4 0.11873921945016884 0.14842402431271107 6.586221769924255E-4 0.009920547372185149 0.005952328423311089 7.318024188804729E-5 0.00793643789774812 0.01587287579549624 6.952122979364491E-4 7.318024188804728E-4
3.8 6.4 -4.0 4.980072762664452 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
3.8 6.4 -1.4 4.980072762664452 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
3.8 6.4 1.2000000000000002 4.980072275823434 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 4.829895964611121E-4 2.4149479823055604E-4 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 7.318024188804728E-4 4.829895964611121E-4 2.4149479823055604E-4 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 6.252150377482015E-5 2.0632096245690652E-5 4.1264192491381304E-5 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
3.8 6.4 3.8 4.895552997878364 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 0.03704894347052823 0.018524471735264114 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 6.252150377482015E-5 2.0632096245690652E-5 4.1264192491381304E-5 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
3.8 6.4 6.4 4.895552997878364 0.37531109885139935 0.3002488790811195 4.3908145132828363E-4 0.05613476283413368 0.03704894347052823 2.4149479823055604E-4 0.03704894347052823 0.018524471735264114 7.318024188804729E-5 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.003088715408236766 0.0020385521694362657 2.4149479823055604E-4 0.001544357704118383 0.002162100785765736 6.586221769924255E-4 6.252150377482015E-5 2.0632096245690652E-5 4.1264192491381304E-5 3.751290226489209E-5 4.6891127831115114E-5 5.626935339733814E-5 2.327857857891539E-7 1.3967147147349234E-7 4.6557157157830784E-8 1.8622862863132314E-7 3.7245725726264627E-7 4.422929929993924E-7 1.2754076295260396E-9
6.4 -4.0 -4.0 0.0044920416475705445 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -4.0 -1.4 0.0045031963733368225 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -4.0 1.2000000000000002 0.005726806245408842 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 8.417690354871861E-10 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -4.0 3.8 0.005726806245408842 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 8.417690354871861E-10 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -4.0 6.4 0.005726806245408842 2.576757109154981E-18 2.061405687323985E-18 1.5460542654929886E-18 1.2664165549094176E-14 8.358349262402156E-15 4.179174631201078E-15 8.358349262402156E-15 4.179174631201078E-15 1.2664165549094177E-15 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 2.289734845645553E-11 1.511224998126065E-11 7.556124990630325E-12 1.1448674228227765E-11 1.602814391951887E-11 2.0607613610809977E-11 1.522997974471263E-8 5.025893315755168E-9 8.417690354871861E-10 9.137987846827578E-9 1.1422484808534473E-8 1.1478668665734357E-9 1.8633265860393355E-6 1.1179959516236013E-6 1.2754076295260396E-10 1.4906612688314684E-6 2.9813225376629368E-6 1.2116372480497376E-9 3.3546262790251185E-4
6.4 -1.4 -4.0 0.06640583808052351 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 -1.4 -1.4 0.06640583808052351 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 -1.4 1.2000000000000002 0.07144668911740074 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 7.318024188804728E-4 1.643252890960801E-4 8.417690354871861E-10 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 3.659012094402364E-4 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 -1.4 3.8 0.10111184438833831 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 0.0030887154082367718 1.643252890960801E-4 8.417690354871861E-10 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 0.028067381417066863 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 -1.4 6.4 0.10111184438833831 1.2754076295260396E-9 1.0203261036208317E-9 7.652445777156238E-10 4.655715715783078E-7 3.072772372416832E-7 4.2088451774359307E-10 3.072772372416832E-7 1.536386186208416E-7 1.2754076295260396E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 6.252150377482015E-5 4.1264192491381304E-5 4.2088451774359307E-10 3.1260751887410076E-5 4.37650526423741E-5 1.1478668665734357E-9 0.0030887154082367718 1.643252890960801E-4 8.417690354871861E-10 0.001853229244942063 3.734665661274548E-4 1.1478668665734357E-9 0.028067381417066863 1.493866264509819E-4 1.2754076295260396E-10 0.02245390513365349 3.983643372026185E-4 1.2116372480497376E-9 0.37531109885139957
6.4 1.2000000000000002 -4.0 1.5169817918546202 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 1.2000000000000002 -1.4 1.5169817918546202 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 1.2000000000000002 1.2000000000000002 1.5169817918546202 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 4.829895964611121E-4 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 7.318024188804728E-4 1.643252890960801E-4 8.417690354871861E-10 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 3.659012094402364E-4 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 1.2000000000000002 3.8 1.778562082104366 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 0.013095122531284397 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 0.37531109885139935 1.643252890960801E-4 8.417690354871861E-10 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 1.2000000000000002 6.4 1.778562082104366 7.318024188804728E-4 3.983643372026185E-4 7.652445777156238E-10 0.019841094744370298 3.286505781921602E-4 4.2088451774359307E-10 0.013095122531284397 1.643252890960801E-4 1.2754076295260396E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.19789869908361474 3.286505781921602E-4 4.2088451774359307E-10 0.09894934954180737 3.485687950522911E-4 1.1478668665734357E-9 0.37531109885139935 1.643252890960801E-4 8.417690354871861E-10 0.2251866593108396 3.734665661274548E-4 1.1478668665734357E-9 0.18765554942569967 1.493866264509819E-4 1.2754076295260396E-10 0.15012443954055976 3.983643372026185E-4 1.2116372480497376E-9 0.48675225595997157
6.4 3.8 -4.0 3.9281594486363876 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 3.8 -1.4 3.9281594486363876 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 3.8 1.2000000000000002 3.9281594486363876 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 4.829895964611121E-4 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 7.318024188804728E-4 1.643252890960801E-4 8.417690354871861E-10 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 3.659012094402364E-4 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 3.8 3.8 3.784782968892101 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.2477053252419236 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 0.19789869908361474 1.643252890960801E-4 8.417690354871861E-10 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 0.009920547372185149 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 3.8 6.4 3.784782968892101 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.2477053252419236 1.643252890960801E-4 1.2754076295260396E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.37531109885139935 3.286505781921602E-4 4.2088451774359307E-10 0.18765554942569967 3.485687950522911E-4 1.1478668665734357E-9 0.19789869908361474 1.643252890960801E-4 8.417690354871861E-10 0.11873921945016884 3.734665661274548E-4 1.1478668665734357E-9 0.009920547372185149 1.493866264509819E-4 1.2754076295260396E-10 0.00793643789774812 3.983643372026185E-4 1.2116372480497376E-9 7.318024188804728E-4
6.4 6.4 -4.0 4.9833661822036985 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 1.7006596920422875E-18 8.503298460211438E-19 2.576757109154981E-19 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 2.576757109154981E-18 1.7006596920422875E-18 8.503298460211438E-19 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 2.576757109154981E-18 8.503298460211438E-19 1.7006596920422875E-18 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 1.2883785545774905E-18 7.730271327464943E-19 2.576757109154981E-19 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9
6.4 6.4 -1.4 4.9833661822036985 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 8.417690354871861E-10 4.2088451774359307E-10 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 1.2754076295260396E-9 8.417690354871861E-10 4.2088451774359307E-10 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 1.2754076295260396E-9 4.2088451774359307E-10 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 6.377038147630198E-10 3.826222888578119E-10 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9
6.4 6.4 1.2000000000000002 4.983365694155616 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 4.829895964611121E-4 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 7.318024188804728E-4 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 6.252150377482015E-5 2.0632096245690652E-5 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9
6.4 6.4 3.8 4.8956191766547725 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 0.03704894347052823 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 6.252150377482015E-5 2.0632096245690652E-5 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9
6.4 6.4 6.4 4.8956191766547725 0.37531109885139935 3.983643372026185E-4 7.652445777156238E-10 0.05613476283413368 3.286505781921602E-4 4.2088451774359307E-10 0.03704894347052823 1.643252890960801E-4 1.2754076295260396E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.003088715408236766 3.286505781921602E-4 4.2088451774359307E-10 0.001544357704118383 3.485687950522911E-4 1.1478668665734357E-9 6.252150377482015E-5 2.0632096245690652E-5 8.417690354871861E-10 3.751290226489209E-5 4.6891127831115114E-5 1.1478668665734357E-9 2.327857857891539E-7 1.3967147147349234E-7 1.2754076295260396E-10 1.8622862863132314E-7 3.7245725726264627E-7 1.2116372480497376E-9 1.2754076295260396E-9

35
Examples/jFuzzyLogic/z.fcl
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@ -1,35 +0,0 @@
FUNCTION_BLOCK Zzz
VAR_INPUT
temperature : REAL; // RANGE := ( 100 .. 150 );
END_VAR
VAR_OUTPUT
out : REAL;
END_VAR
FUZZIFY temperature
TERM low := SIGM -4 125;
TERM high := SIGM 4 125;
RANGE := (100.0 .. 150.0); // Added range for temperature
END_FUZZIFY
DEFUZZIFY out
TERM low := (0,0) (5,1) (10,0);
TERM mid := (10,0) (15,1) (20,0);
TERM high := (20,0) (25,1) (30,0);
METHOD : COG;
DEFAULT := 0;
RANGE := (0.0 .. 30.0); // Added range for out
END_DEFUZZIFY
RULEBLOCK No1
AND : MIN;
ACT : MIN;
ACCU : MAX;
RULE 1 : IF temperature IS low THEN out IS low;
RULE 2 : IF temperature IS high THEN out IS high;
END_RULEBLOCK
END_FUNCTION_BLOCK

6
Examples/jFuzzyLogic/z.fld
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@ -1,6 +0,0 @@
temperature out No1.1 No1.2
100.0 5.000020040080156 1.0 3.7200759760208356E-44
110.0 5.000020040080156 1.0 8.75651076269652E-27
120.0 5.000020122403032 0.9999999979388463 2.0611536181902037E-9
130.0 24.999979877597212 2.0611536181902037E-9 0.9999999979388463
140.0 24.99997995991997 8.75651076269652E-27 1.0

242
README.md
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@ -1,242 +0,0 @@
An FCL parser with a scikit-fuzzy back-end
=======================================
This is a parser for the Fuzzy Control Language
[FCL](https://en.wikipedia.org/wiki/Fuzzy_Control_Language)
along with a back-end for
[scikit-fuzzy](https://github.com/scikit-fuzzy/scikit-fuzzy),
a fuzzy logic toolkit for SciPy.
The basic use-case is to parse a FCL file and then use the fuzzy rules
in your `scikit-fuzzy` code. For example:
```python
from fcl_parser import FCLParser
p = FCLParser() # Create the parser
p.read_fcl_file('tipper.fcl') # Parse a file
# ... and so on, as usual for skfuzzy:
cs = ctrl.ControlSystem(p.rules)
```
After reading a file the parser object has attributes to supply the
`rules` (as above) or the `antecedents`, the `consequents`, or all the
`fuzzy_variables` All these are represented via lists of their
corresponding `scikit-fuzzy` objects.
Other Entry Points
------------------
The parser can be used to accept program fragments, so you can
interleave its use with regular `scikit-fuzzy` code.
For example, in the following `scikit-fuzzy` code we set up the
tipping example in the usual way by specifying the variables and
defining some membership functions for the inputs:
```python
# First we set up the variables in the usual way:
food = ctrl.Antecedent(np.linspace(0, 10, 11), 'quality')
service = ctrl.Antecedent(np.linspace(0, 10, 11), 'service')
tip = ctrl.Consequent(np.linspace(0, 25, 26), 'tip')
# Auto-generate the membership functions for the inputs:
food.automf(3)
service.automf(3)
```
We can define the output variable using FCL code, in this case getting
the parser to parse a membership function `mf` definition:
```python
# Define a FCL parser-object:
p = FCLParser()
# Use FCL to define membership functions for the output:
tip['bad'] = p.mf('Triangle 0 0 13', tip.universe)
tip['middling'] = p.mf('Triangle 0 13 25', tip.universe)
tip['lots'] = p.mf('Triangle 13 25 25', tip.universe)
```
Last, we can define the rules in FCL, and get a `scikit-fuzzy` rule
object for each of them if we like:
```python
# We need to tell the parser about the variables before we parse any rules:
p.add_vars([food, service, tip])
# Now use FCL to define three rules:
rule1 = p.rule('IF quality is poor OR service is poor THEN tip is bad')
rule2 = p.rule('IF service is average THEN tip is middling')
rule3 = p.rule('IF service is good OR quality is good THEN tip is lots')
# To get the control system, just add the rules (from the parser):
tipping = ctrl.ControlSystem(p.rules)
```
There are some more examples of mixed FCL/skfuzzy use in the file
[tests/test_fcl_parser.py](./tests/test_fcl_parser.py)
Dependencies
------------
The scanner is written using
[PLY](http://www.dabeaz.com/ply/ply.html) (Python Lex-Yacc),
so you need to install PLY before the code here will work.
$ pip install ply
You don't need to import this anywhere, my scanner code just needs it.
The parser is hand-written so we don't actually use the
parser-generation features of PLY.
What's implemented
------------------
Much of FCL is implemented, concentrating on
the subset of FCL that can be translated easily into
`scikit-fuzzy`. That includes most parts of a standard
(Mamdani-style) fuzzy system.
At the moment the main options are for:
* defuzzification methods: cog, coa, lm, rm, mom
* membership functions: quite a collection; have a look in
[fcl_symbols.py](./fcl_symbols.py) for a list.
* and/or methods (norms and co-norms): again, quite a few,
including (norms) min, prod, bdif, drp, eprod, hprod, nilmin
and their co-norm duals.
I was doing this with an eye on the XML standard, hence the rather
large selection of membership functions and norms.
I've also implemented the *hedge functions* listed in the IEEE standard,
so you can write things like:
```python
rule1 = p.rule('IF quality is slightly poor OR service is very poor THEN tip is extremely bad')
```
What happens here is that when the rule is processed, the hedge
functions are applied to the corresponding membership function, and a
new membership function is generated and added to the variable. For
example, a membership function called `_slightly_poor` would be added
to the variable `quality` above.
What's not implemented
------------------
Most notably _not_ implemented (yet) are options for:
* activation method (this is hard-wired to `MIN`).
At the moment `scikit-fuzzy` doesn't have an option to change this;
its CrispValueCalculator always uses np.minimum.
* accumulation method (well, not exactly).
This is a small incompatibility: FCL sees the accumulation as a
property of the rule-base, whereas `scikit-fuzzy` sees it as a
property of the output variables. I could fix the parser to
propagate the setting from the rules to the variables used in those
rules, but this might cause unexpected behaviour if the variables
are used in more than one rule base.
You can set an 'ACCU' option as part of an (output) variable
definition, and this will be propagated through to `scikit-fuzzy`.
* default values for variables.
In FCL these values are used in defuzzification when all the
memberships have been cut to zero area. As far as I can see this
case will raise an exception in `scikit-fuzzy`.
The parser accepts these, I just haven't figured out how to get them
into the `scikit-fuzzy` code, so they are ignored for the moment.
Compliance
----------
First of all, I'm working from the draft of the FCL standard (IEC
TC65/WG 7/TF8), plus any examples I could find, so I may have missed a
few things.
Second, the parser does not enforce strict conformance to the FCL standard,
and is somewhat liberal in the kind of FCL code it will accept.
This is intended as a feature, not a bug.
In particular:
* Case is not relevant for keywords
(so `rule` and `RULE` are the same)
but note that case _is_ relevant for identifiers (e.g. variable names).
* The semi-colon at the end of lines can be left out in most cases.
* The parser doesn't impose a strict ordering on the contents of
variable definitions, so you can mix `TERM`, `RANGE`, `METHOD`
etc. in your preferred order.
I only made one real change to the FCL language
to better support `scikit-fuzzy`:
* When defining a variable range (universe) you can specify
the granularity using an optional `WITH` setting, thus:
```
RANGE := (0 .. 2.1) WITH 0.01
```
This maps directly to a NumPy `arange(1, 2.1, 0.01)` expression.
This is due to the way `scikit-fuzzy` calculates its membership
functions: these get worked out to point-lists when they are defined,
so I need to know the granularity to get this right.
This working-out is also the reason we can't really generate FCL from
a `scikit-fuzzy` program, since the information on the original
definition of the membership functions is not retained once the
point-sets have been calculated.
Reading the code
----------------
The main functionality is in [fcl_parser.py](./fcl_parser.py)
which contains the
hand-written top-down parser. This is essentially a context-free
grammar, with a Python method for each non-terminal.
This can be called from the command-line if you just want to parse a file;
for example:
```
$ python fcl_parser.py tests/tipper.fcl
```
The scanner code is in [fcl_scanner.py](./fcl_scanner.py).
This uses a few tricks related
to PLY, but us essentially a list of regular expressions plus some
extra code to check tokens etc.
The symbol table is in [fcl_symbols.py](./fcl_symbols.py)
and contains a list of the
variables and rules, added in as they are processed. The mappings
between option names (membership functions, defuzzification method
etc.) is also kept here.
The other files are simple auxiliary definitions: some extra
membership functions (that are not in `scikit-fuzzy`) are defined in
[extramf.py](./extramf.py)
and the t-norms and their duals are defined in
[norms.py](./norms.py).
The set of hedge functions as defined in the IEEE standard is implemented in
[hedges.py](./hedges.py).
[James Power](http://www.cs.nuim.ie/~jpower/),
27 August 2018.

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env/bin/activate vendored
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@ -1,76 +0,0 @@
# This file must be used with "source bin/activate" *from bash*
# you cannot run it directly
deactivate () {
# reset old environment variables
if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
PATH="${_OLD_VIRTUAL_PATH:-}"
export PATH
unset _OLD_VIRTUAL_PATH
fi
if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
export PYTHONHOME
unset _OLD_VIRTUAL_PYTHONHOME
fi
# This should detect bash and zsh, which have a hash command that must
# be called to get it to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
hash -r
fi
if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
PS1="${_OLD_VIRTUAL_PS1:-}"
export PS1
unset _OLD_VIRTUAL_PS1
fi
unset VIRTUAL_ENV
if [ ! "$1" = "nondestructive" ] ; then
# Self destruct!
unset -f deactivate
fi
}
# unset irrelevant variables
deactivate nondestructive
VIRTUAL_ENV="/home/ivan/Uczelnia/LSR/System/env"
export VIRTUAL_ENV
_OLD_VIRTUAL_PATH="$PATH"
PATH="$VIRTUAL_ENV/bin:$PATH"
export PATH
# unset PYTHONHOME if set
# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
# could use `if (set -u; : $PYTHONHOME) ;` in bash
if [ -n "${PYTHONHOME:-}" ] ; then
_OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
unset PYTHONHOME
fi
if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
_OLD_VIRTUAL_PS1="${PS1:-}"
if [ "x(env) " != x ] ; then
PS1="(env) ${PS1:-}"
else
if [ "`basename \"$VIRTUAL_ENV\"`" = "__" ] ; then
# special case for Aspen magic directories
# see http://www.zetadev.com/software/aspen/
PS1="[`basename \`dirname \"$VIRTUAL_ENV\"\``] $PS1"
else
PS1="(`basename \"$VIRTUAL_ENV\"`)$PS1"
fi
fi
export PS1
fi
# This should detect bash and zsh, which have a hash command that must
# be called to get it to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
hash -r
fi

37
env/bin/activate.csh vendored
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@ -1,37 +0,0 @@
# This file must be used with "source bin/activate.csh" *from csh*.
# You cannot run it directly.
# Created by Davide Di Blasi <davidedb@gmail.com>.
# Ported to Python 3.3 venv by Andrew Svetlov <andrew.svetlov@gmail.com>
alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; test "\!:*" != "nondestructive" && unalias deactivate'
# Unset irrelevant variables.
deactivate nondestructive
setenv VIRTUAL_ENV "/home/ivan/Uczelnia/LSR/System/env"
set _OLD_VIRTUAL_PATH="$PATH"
setenv PATH "$VIRTUAL_ENV/bin:$PATH"
set _OLD_VIRTUAL_PROMPT="$prompt"
if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
if ("env" != "") then
set env_name = "env"
else
if (`basename "VIRTUAL_ENV"` == "__") then
# special case for Aspen magic directories
# see http://www.zetadev.com/software/aspen/
set env_name = `basename \`dirname "$VIRTUAL_ENV"\``
else
set env_name = `basename "$VIRTUAL_ENV"`
endif
endif
set prompt = "[$env_name] $prompt"
unset env_name
endif
alias pydoc python -m pydoc
rehash

75
env/bin/activate.fish vendored
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@ -1,75 +0,0 @@
# This file must be used with ". bin/activate.fish" *from fish* (http://fishshell.org)
# you cannot run it directly
function deactivate -d "Exit virtualenv and return to normal shell environment"
# reset old environment variables
if test -n "$_OLD_VIRTUAL_PATH"
set -gx PATH $_OLD_VIRTUAL_PATH
set -e _OLD_VIRTUAL_PATH
end
if test -n "$_OLD_VIRTUAL_PYTHONHOME"
set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME
set -e _OLD_VIRTUAL_PYTHONHOME
end
if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
functions -e fish_prompt
set -e _OLD_FISH_PROMPT_OVERRIDE
functions -c _old_fish_prompt fish_prompt
functions -e _old_fish_prompt
end
set -e VIRTUAL_ENV
if test "$argv[1]" != "nondestructive"
# Self destruct!
functions -e deactivate
end
end
# unset irrelevant variables
deactivate nondestructive
set -gx VIRTUAL_ENV "/home/ivan/Uczelnia/LSR/System/env"
set -gx _OLD_VIRTUAL_PATH $PATH
set -gx PATH "$VIRTUAL_ENV/bin" $PATH
# unset PYTHONHOME if set
if set -q PYTHONHOME
set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
set -e PYTHONHOME
end
if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
# fish uses a function instead of an env var to generate the prompt.
# save the current fish_prompt function as the function _old_fish_prompt
functions -c fish_prompt _old_fish_prompt
# with the original prompt function renamed, we can override with our own.
function fish_prompt
# Save the return status of the last command
set -l old_status $status
# Prompt override?
if test -n "(env) "
printf "%s%s" "(env) " (set_color normal)
else
# ...Otherwise, prepend env
set -l _checkbase (basename "$VIRTUAL_ENV")
if test $_checkbase = "__"
# special case for Aspen magic directories
# see http://www.zetadev.com/software/aspen/
printf "%s[%s]%s " (set_color -b blue white) (basename (dirname "$VIRTUAL_ENV")) (set_color normal)
else
printf "%s(%s)%s" (set_color -b blue white) (basename "$VIRTUAL_ENV") (set_color normal)
end
end
# Restore the return status of the previous command.
echo "exit $old_status" | .
_old_fish_prompt
end
set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
end

8
env/bin/easy_install vendored
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@ -1,8 +0,0 @@
#!/home/ivan/Uczelnia/LSR/System/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
env/bin/easy_install-3.6 vendored
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@ -1,8 +0,0 @@
#!/home/ivan/Uczelnia/LSR/System/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
env/bin/f2py vendored
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@ -1,8 +0,0 @@
#!/home/ivan/Uczelnia/LSR/System/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from numpy.f2py.f2py2e import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
env/bin/f2py3 vendored
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@ -1,8 +0,0 @@
#!/home/ivan/Uczelnia/LSR/System/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from numpy.f2py.f2py2e import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
env/bin/f2py3.6 vendored
View File

@ -1,8 +0,0 @@
#!/home/ivan/Uczelnia/LSR/System/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from numpy.f2py.f2py2e import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

45
env/bin/hcltool vendored
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@ -1,45 +0,0 @@
#!/home/ivan/Uczelnia/LSR/System/env/bin/python
"""Command-line tool to validate HCL and pretty-print JSON from it
Usage::
$ echo '{"json":"obj"}' | hcltool
{
"json": "obj"
}
$ echo '{ 1.2:3.4}' | python -m json.tool
Expecting property name enclosed in double quotes: line 1 column 3 (char 2)
Copy/pasted from json.tool, distributed under the python license.
"""
import sys
import json
import hcl
def main():
if len(sys.argv) == 1:
infile = sys.stdin
outfile = sys.stdout
elif len(sys.argv) == 2:
infile = open(sys.argv[1], 'rb')
outfile = sys.stdout
elif len(sys.argv) == 3:
infile = open(sys.argv[1], 'rb')
outfile = open(sys.argv[2], 'wb')
else:
raise SystemExit(sys.argv[0] + " [infile [outfile]]")
with infile:
try:
obj = hcl.load(infile)
except ValueError as e:
raise SystemExit(e)
with outfile:
json.dump(obj, outfile, sort_keys=True,
indent=4, separators=(',', ': '))
outfile.write('\n')
if __name__ == '__main__':
main()

8
env/bin/pip vendored
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@ -1,8 +0,0 @@
#!/home/ivan/Uczelnia/LSR/System/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
env/bin/pip3 vendored
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@ -1,8 +0,0 @@
#!/home/ivan/Uczelnia/LSR/System/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
env/bin/pip3.6 vendored
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@ -1,8 +0,0 @@
#!/home/ivan/Uczelnia/LSR/System/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

1
env/bin/python vendored
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python3.6

1
env/bin/python3 vendored
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python3.6

1
env/bin/python3.6 vendored
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/usr/bin/python3.6

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