added new fuzzy logic methods
This commit is contained in:
parent
de5392b704
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@ -1,7 +1,6 @@
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import pandas as pd
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import pandas as pd
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from simpful import *
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from fuzzy import *
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FS = FuzzySystem()
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def generateTrainingData(dataframe):
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def generateTrainingData(dataframe):
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columns = ['season','date','home_team','away_team','result_full','home_passes','away_passes',
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columns = ['season','date','home_team','away_team','result_full','home_passes','away_passes',
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'home_possession','away_possession','home_shots','away_shots']
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'home_possession','away_possession','home_shots','away_shots']
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@ -17,55 +16,7 @@ def generateFuzzyLogicData(dataframe):
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'c_home_diff_season', 'c_away_diff_season']
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'c_home_diff_season', 'c_away_diff_season']
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return dataframe[columns]
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return dataframe[columns]
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def calculateFuzzyAggression(yellow_cards, red_cards):
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FS.set_crisp_output_value("low", 0.0)
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FS.set_crisp_output_value("average", 0.5)
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FS.set_crisp_output_value("high", 1.0)
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Yellow_cards1 = TriangleFuzzySet(0, 2, 3, term="low")
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Yellow_cards2 = TriangleFuzzySet(2, 3, 4, term="average")
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Yellow_cards3 = TriangleFuzzySet(3, 4, 4, term="high")
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FS.add_linguistic_variable("yellow_cards", LinguisticVariable([Yellow_cards1, Yellow_cards2, Yellow_cards3], universe_of_discourse=[0, 10]))
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Red_cards1 = TriangleFuzzySet(0, 0, 1, term="low")
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Red_cards2 = TriangleFuzzySet(0, 1, 2, term="average")
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Red_cards3 = TriangleFuzzySet(1, 2, 2, term="high")
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FS.add_linguistic_variable("red_cards", LinguisticVariable([Red_cards1, Red_cards2, Red_cards3], universe_of_discourse=[0, 4]))
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# Pass_domination1 = TriangleFuzzySet(2,2,6, term="low")
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# Pass_domination2 = TriangleFuzzySet(3,5,7, term="average")
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# Pass_domination3 = TriangleFuzzySet(4,8,8, term="high")
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# FS.add_linguistic_variable("passes_domination", LinguisticVariable([Pass_domination1, Pass_domination2, Pass_domination3], universe_of_discourse=[0,10]))
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FS.add_rules([
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"IF (yellow_cards IS low) AND (red_cards IS low) THEN (aggression IS low)",
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"IF (yellow_cards IS high) AND (red_cards IS high) THEN (aggression IS high)",
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"IF (yellow_cards IS average) AND (red_cards IS average) THEN (aggression IS average)",
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"IF (yellow_cards IS low) AND (red_cards IS high) THEN (aggression IS high)",
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"IF (yellow_cards IS high ) AND (red_cards IS low) THEN (aggression IS high)",
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"IF (yellow_cards IS average) AND (red_cards IS high) THEN (aggression IS high)",
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"IF (yellow_cards IS high) AND (red_cards IS average) THEN (aggression IS high)",
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"IF (yellow_cards IS low) AND (red_cards IS average) THEN (aggression IS low)",
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"IF (yellow_cards IS average) AND (red_cards IS low) THEN (aggression IS average)"
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])
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FS.set_variable("yellow_cards", yellow_cards)
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FS.set_variable("red_cards", red_cards)
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aggression = FS.inference()
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return aggression
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def last5Matches(season, teamA, data, df):
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def last5Matches(season, teamA, data, df):
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# Wybierz rekordy dla danej pary drużyn i sezonu
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# Wybierz rekordy dla danej pary drużyn i sezonu
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subset = df[((df['season'] == season) & ((df['home_team'] == teamA) | (df['away_team'] == teamA)))]
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subset = df[((df['season'] == season) & ((df['home_team'] == teamA) | (df['away_team'] == teamA)))]
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@ -166,3 +117,5 @@ def calculateGoalDifference(matches, team):
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else:
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else:
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goal_diff = goal_diff + (y-x)
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goal_diff = goal_diff + (y-x)
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return goal_diff
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return goal_diff
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222
fuzzy.py
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222
fuzzy.py
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@ -0,0 +1,222 @@
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from simpful import *
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from data_filters import *
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import pandas as pd
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FS = FuzzySystem()
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# Dominacja OK
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# Jakość strzałów - Witek
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# Agresesywnosc (zolte + czerwone kartki) - Wojtek
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# odbiory i wslizgi (xDef) - Michał, ekspert od xDef
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# statystyki z calego sezonu - Wojtek OK
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# 5 ostatnich spotkan miedzy druzynami - Witek
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def categorize_fuzzy_passes(passes,possession):
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FS.set_crisp_output_value("low", 0.0)
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FS.set_crisp_output_value("average", 0.5)
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FS.set_crisp_output_value("high", 1.0)
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Pass1 = TriangleFuzzySet(300,300,500, term="low")
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Pass2 = TriangleFuzzySet(300,450,600, term="average")
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Pass3 = TriangleFuzzySet(400,600,600, term="high")
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FS.add_linguistic_variable("passes", LinguisticVariable([Pass1, Pass2, Pass3], universe_of_discourse=[0,1000]))
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Poss1 = TriangleFuzzySet(30,30,45, term="low")
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Poss2 = TriangleFuzzySet(40,50,60, term="average")
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Poss3 = TriangleFuzzySet(55,70,70, term="high")
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FS.add_linguistic_variable("possession", LinguisticVariable([Poss1, Poss2, Poss3], universe_of_discourse=[0,100]))
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#Pass_domination1 = TriangleFuzzySet(2,2,6, term="low")
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#Pass_domination2 = TriangleFuzzySet(3,5,7, term="average")
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#Pass_domination3 = TriangleFuzzySet(4,8,8, term="high")
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#FS.add_linguistic_variable("passes_domination", LinguisticVariable([Pass_domination1, Pass_domination2, Pass_domination3], universe_of_discourse=[0,10]))
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FS.add_rules([
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"IF (passes IS low) AND (possession IS low) THEN (pass_domination IS low)",
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"IF (passes IS high) AND (possession IS high) THEN (pass_domination IS high)",
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"IF (passes IS average) AND (possession IS average) THEN (pass_domination IS average)",
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"IF (passes IS low) AND (possession IS high) THEN (pass_domination IS average)",
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"IF (passes IS high ) AND (possession IS low) THEN (pass_domination IS average)",
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"IF (passes IS average) AND (possession IS high) THEN (pass_domination IS high)",
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"IF (passes IS high) AND (possession IS average) THEN (pass_domination IS high)",
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"IF (passes IS low) AND (possession IS average) THEN (pass_domination IS low)",
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"IF (passes IS average) AND (possession IS low) THEN (pass_domination IS average)"
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])
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FS.set_variable("passes", passes)
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FS.set_variable("possession", possession)
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pass_domination = FS.inference()
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return pass_domination
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def categorize_fuzzy_defence(tackles,clearances):
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FS.set_crisp_output_value("low", 0.0)
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FS.set_crisp_output_value("average", 0.5)
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FS.set_crisp_output_value("high", 1.0)
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Tackle1 = TriangleFuzzySet(12,12,20, term="low")
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Tackle2 = TriangleFuzzySet(12,18,24, term="average")
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Tackle3 = TriangleFuzzySet(16,24,24, term="high")
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FS.add_linguistic_variable("tackles", LinguisticVariable([Tackle1, Tackle2, Tackle3], universe_of_discourse=[0,100]))
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Clear1 = TriangleFuzzySet(12,12,30, term="low")
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Clear2 = TriangleFuzzySet(12,27,42, term="average")
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Clear3 = TriangleFuzzySet(24,42,42, term="high")
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FS.add_linguistic_variable("clearances", LinguisticVariable([Clear1, Clear2, Clear3], universe_of_discourse=[0,100]))
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FS.add_rules([
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"IF (tackles IS low) AND (clearances IS low) THEN (defence_actions IS low)",
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"IF (tackles IS high) AND (clearances IS high) THEN (defence_actions IS high)",
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"IF (tackles IS average) AND (clearances IS average) THEN (defence_actions IS average)",
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"IF (tackles IS low) AND (clearances IS high) THEN (defence_actions IS average)",
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"IF (tackles IS high ) AND (clearances IS low) THEN (defence_actions IS average)",
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"IF (tackles IS average) AND (clearances IS high) THEN (defence_actions IS high)",
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"IF (tackles IS high) AND (clearances IS average) THEN (defence_actions IS high)",
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"IF (tackles IS low) AND (clearances IS average) THEN (defence_actions IS low)",
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"IF (tackles IS average) AND (clearances IS low) THEN (defence_actions IS average)"
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])
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FS.set_variable("tackles", tackles)
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FS.set_variable("clearances", clearances)
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defence_actions = FS.inference()
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return defence_actions
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def categorize_fuzzy_shots(shots_overall, shots_on_target):
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FS.set_crisp_output_value("low", 0.0)
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FS.set_crisp_output_value("average", 0.5)
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FS.set_crisp_output_value("high", 1.0)
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Shot_ov1 = TriangleFuzzySet(0,0,6, term="low") #pozmieniać przedziały (nakładają się)
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Shot_ov2 = TriangleFuzzySet(5,10,15, term="average")
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Shot_ov3 = TriangleFuzzySet(14,25,25, term="high")
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FS.add_linguistic_variable("shots_overall", LinguisticVariable([Shot_ov1, Shot_ov2, Shot_ov3], universe_of_discourse=[0,35]))
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Shot_ont1 = TriangleFuzzySet(0,0,3, term="low")
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Shot_ont2 = TriangleFuzzySet(2,4,6, term="average")
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Shot_ont3 = TriangleFuzzySet(5,10,10, term="high")
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FS.add_linguistic_variable("shots_on_target", LinguisticVariable([Shot_ont1, Shot_ont2, Shot_ont3], universe_of_discourse=[0,15]))
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#Qual_of_shots1 = TriangleFuzzySet(0,0,0.3, term="low")
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#Qual_of_shots2 = TriangleFuzzySet(0.2,0.5,0.8, term="medium")
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#Qual_of_shots3 = TriangleFuzzySet(0.7,1,1, term="high")
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#FS.add_linguistic_variable("expected_goals", LinguisticVariable([Qual_of_shots1, Qual_of_shots2, Qual_of_shots3], universe_of_discourse=[0,1]))
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FS.add_rules([
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"IF (shots_overall IS low) AND (shots_on_target IS low) THEN (quality_of_shots IS low)",
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"IF (shots_overall IS high) AND (shots_on_target IS high) THEN (quality_of_shots IS high)",
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"IF (shots_overall IS average) AND (shots_on_target IS average) THEN (quality_of_shots IS average)",
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"IF (shots_overall IS low) AND (shots_on_target IS high) THEN (quality_of_shots IS high)",
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"IF (shots_overall IS high ) AND (shots_on_target IS low) THEN (quality_of_shots IS low)",
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"IF (shots_overall IS average) AND (shots_on_target IS high) THEN (quality_of_shots IS high)",
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"IF (shots_overall IS high) AND (shots_on_target IS average) THEN (quality_of_shots IS average)",
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"IF (shots_overall IS low) AND (shots_on_target IS average) THEN (quality_of_shots IS average)",
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"IF (shots_overall IS average) AND (shots_on_target IS low) THEN (quality_of_shots IS low)"
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])
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FS.set_variable("shots_overall", shots_overall)
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FS.set_variable("shots_on_target", shots_on_target)
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quality_of_shots = FS.inference()
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return quality_of_shots
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def calculateFuzzyAggression(yellow_cards, red_cards):
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FS.set_crisp_output_value("low", 0.0)
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FS.set_crisp_output_value("average", 0.5)
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FS.set_crisp_output_value("high", 1.0)
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Yellow_cards1 = TriangleFuzzySet(0, 2, 3, term="low")
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Yellow_cards2 = TriangleFuzzySet(2, 3, 4, term="average")
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Yellow_cards3 = TriangleFuzzySet(3, 4, 4, term="high")
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FS.add_linguistic_variable("yellow_cards", LinguisticVariable([Yellow_cards1, Yellow_cards2, Yellow_cards3], universe_of_discourse=[0, 10]))
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Red_cards1 = TriangleFuzzySet(0, 0, 1, term="low")
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Red_cards2 = TriangleFuzzySet(0, 1, 2, term="average")
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Red_cards3 = TriangleFuzzySet(1, 2, 2, term="high")
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FS.add_linguistic_variable("red_cards", LinguisticVariable([Red_cards1, Red_cards2, Red_cards3], universe_of_discourse=[0, 4]))
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# Pass_domination1 = TriangleFuzzySet(2,2,6, term="low")
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# Pass_domination2 = TriangleFuzzySet(3,5,7, term="average")
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# Pass_domination3 = TriangleFuzzySet(4,8,8, term="high")
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# FS.add_linguistic_variable("passes_domination", LinguisticVariable([Pass_domination1, Pass_domination2, Pass_domination3], universe_of_discourse=[0,10]))
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FS.add_rules([
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"IF (yellow_cards IS low) AND (red_cards IS low) THEN (aggression IS low)",
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"IF (yellow_cards IS high) AND (red_cards IS high) THEN (aggression IS high)",
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"IF (yellow_cards IS average) AND (red_cards IS average) THEN (aggression IS average)",
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"IF (yellow_cards IS low) AND (red_cards IS high) THEN (aggression IS high)",
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"IF (yellow_cards IS high ) AND (red_cards IS low) THEN (aggression IS high)",
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"IF (yellow_cards IS average) AND (red_cards IS high) THEN (aggression IS high)",
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"IF (yellow_cards IS high) AND (red_cards IS average) THEN (aggression IS high)",
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"IF (yellow_cards IS low) AND (red_cards IS average) THEN (aggression IS low)",
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"IF (yellow_cards IS average) AND (red_cards IS low) THEN (aggression IS average)"
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])
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FS.set_variable("yellow_cards", yellow_cards)
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FS.set_variable("red_cards", red_cards)
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aggression = FS.inference()
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return aggression
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1
main.py
1
main.py
@ -2,6 +2,7 @@ import pandas as pd
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from simpful import *
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from simpful import *
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from rules import *
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from rules import *
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from data_filters import *
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from data_filters import *
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from fuzzy import *
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from sklearn.ensemble import RandomForestClassifier
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from sklearn.ensemble import RandomForestClassifier
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from sklearn.model_selection import train_test_split
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from sklearn.model_selection import train_test_split
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from sklearn.metrics import accuracy_score
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from sklearn.metrics import accuracy_score
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115
rules.py
115
rules.py
@ -1,121 +1,6 @@
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import simpful
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from data_filters import *
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from data_filters import *
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import pandas as pd
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import pandas as pd
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FS = FuzzySystem()
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# Dominacja OK
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# Jakość strzałów - Witek
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# Agresesywnosc (zolte + czerwone kartki) - Wojtek
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# odbiory i wslizgi (xDef) - Michał, ekspert od xDef
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# statystyki z calego sezonu - Wojtek OK
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# 5 ostatnich spotkan miedzy druzynami - Witek
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def categorize_fuzzy_passes(passes,possession):
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FS.set_crisp_output_value("low", 0.0)
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FS.set_crisp_output_value("average", 0.5)
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FS.set_crisp_output_value("high", 1.0)
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Pass1 = TriangleFuzzySet(300,300,500, term="low")
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Pass2 = TriangleFuzzySet(300,450,600, term="average")
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Pass3 = TriangleFuzzySet(400,600,600, term="high")
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FS.add_linguistic_variable("passes", LinguisticVariable([Pass1, Pass2, Pass3], universe_of_discourse=[0,1000]))
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Poss1 = TriangleFuzzySet(30,30,45, term="low")
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Poss2 = TriangleFuzzySet(40,50,60, term="average")
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Poss3 = TriangleFuzzySet(55,70,70, term="high")
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FS.add_linguistic_variable("possession", LinguisticVariable([Poss1, Poss2, Poss3], universe_of_discourse=[0,100]))
|
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||||||
|
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||||||
#Pass_domination1 = TriangleFuzzySet(2,2,6, term="low")
|
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#Pass_domination2 = TriangleFuzzySet(3,5,7, term="average")
|
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#Pass_domination3 = TriangleFuzzySet(4,8,8, term="high")
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||||||
|
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||||||
#FS.add_linguistic_variable("passes_domination", LinguisticVariable([Pass_domination1, Pass_domination2, Pass_domination3], universe_of_discourse=[0,10]))
|
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||||||
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||||||
|
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||||||
FS.add_rules([
|
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||||||
|
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||||||
"IF (passes IS low) AND (possession IS low) THEN (pass_domination IS low)",
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||||||
|
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||||||
"IF (passes IS high) AND (possession IS high) THEN (pass_domination IS high)",
|
|
||||||
|
|
||||||
"IF (passes IS average) AND (possession IS average) THEN (pass_domination IS average)",
|
|
||||||
|
|
||||||
"IF (passes IS low) AND (possession IS high) THEN (pass_domination IS average)",
|
|
||||||
|
|
||||||
"IF (passes IS high ) AND (possession IS low) THEN (pass_domination IS average)",
|
|
||||||
|
|
||||||
"IF (passes IS average) AND (possession IS high) THEN (pass_domination IS high)",
|
|
||||||
|
|
||||||
"IF (passes IS high) AND (possession IS average) THEN (pass_domination IS high)",
|
|
||||||
|
|
||||||
"IF (passes IS low) AND (possession IS average) THEN (pass_domination IS low)",
|
|
||||||
|
|
||||||
"IF (passes IS average) AND (possession IS low) THEN (pass_domination IS average)"
|
|
||||||
])
|
|
||||||
|
|
||||||
FS.set_variable("passes", passes)
|
|
||||||
|
|
||||||
FS.set_variable("possession", possession)
|
|
||||||
|
|
||||||
pass_domination = FS.inference()
|
|
||||||
|
|
||||||
return pass_domination
|
|
||||||
|
|
||||||
def categorize_fuzzy_shots(shots_overall, shots_on_target):
|
|
||||||
|
|
||||||
FS.set_crisp_output_value("low", 0.0)
|
|
||||||
FS.set_crisp_output_value("average", 0.5)
|
|
||||||
FS.set_crisp_output_value("high", 1.0)
|
|
||||||
|
|
||||||
Shot_ov1 = TriangleFuzzySet(0,0,5, term="low") #pozmieniać przedziały (nakładają się)
|
|
||||||
Shot_ov2 = TriangleFuzzySet(5,10,15, term="medium")
|
|
||||||
Shot_ov3 = TriangleFuzzySet(15,25,25, term="high")
|
|
||||||
|
|
||||||
FS.add_linguistic_variable("shots_overall", LinguisticVariable([Shot_ov1, Shot_ov2, Shot_ov3], universe_of_discourse=[0,35]))
|
|
||||||
|
|
||||||
Shot_ont1 = TriangleFuzzySet(0,0,2, term="low")
|
|
||||||
Shot_ont2 = TriangleFuzzySet(2,4,6, term="medium")
|
|
||||||
Shot_ont3 = TriangleFuzzySet(6,10,10, term="high")
|
|
||||||
|
|
||||||
FS.add_linguistic_variable("shots_on_target", LinguisticVariable([Shot_ont1, Shot_ont2, Shot_ont3], universe_of_discourse=[0,15]))
|
|
||||||
|
|
||||||
|
|
||||||
#Qual_of_shots1 = TriangleFuzzySet(0,0,0.3, term="low")
|
|
||||||
#Qual_of_shots2 = TriangleFuzzySet(0.2,0.5,0.8, term="medium")
|
|
||||||
#Qual_of_shots3 = TriangleFuzzySet(0.7,1,1, term="high")
|
|
||||||
|
|
||||||
#FS.add_linguistic_variable("expected_goals", LinguisticVariable([Qual_of_shots1, Qual_of_shots2, Qual_of_shots3], universe_of_discourse=[0,1]))
|
|
||||||
|
|
||||||
|
|
||||||
FS.add_rules([
|
|
||||||
|
|
||||||
"IF (shots_overall IS low) AND (shots_on_target IS low) THEN (quality_of_shots IS low)",
|
|
||||||
|
|
||||||
"IF (shots_overall IS high) AND (shots_on_target IS high) THEN (quality_of_shots IS high)",
|
|
||||||
|
|
||||||
"IF (shots_overall IS average) AND (shots_on_target IS average) THEN (quality_of_shots IS average)",
|
|
||||||
|
|
||||||
"IF (shots_overall IS low) AND (shots_on_target IS high) THEN (quality_of_shots IS high)",
|
|
||||||
|
|
||||||
"IF (shots_overall IS high ) AND (shots_on_target IS low) THEN (quality_of_shots IS low)",
|
|
||||||
|
|
||||||
"IF (shots_overall IS average) AND (shots_on_target IS high) THEN (quality_of_shots IS high)",
|
|
||||||
|
|
||||||
"IF (shots_overall IS high) AND (shots_on_target IS average) THEN (quality_of_shots IS average)",
|
|
||||||
|
|
||||||
"IF (shots_overall IS low) AND (shots_on_target IS average) THEN (quality_of_shots IS average)",
|
|
||||||
|
|
||||||
"IF (shots_overall IS average) AND (shots_on_target IS low) THEN (quality_of_shots IS low)"
|
|
||||||
|
|
||||||
])
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
def categorize_shots(shots):
|
def categorize_shots(shots):
|
||||||
if shots >= 12:
|
if shots >= 12:
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user