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