added first fuzzy logic method
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2fff850afc
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9
main.py
9
main.py
@ -45,11 +45,11 @@ if __name__ == "__main__":
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df = add_column(df, categorize_shots, "c_home_shots", "home_shots")
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print(df.columns)
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df = add_column(df, get_points_home(df), "c_home_form")
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df = add_column(df, get_points_away(df), "c_away_form")
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df = add_column(df, get_method(df, True, categorize_points), "c_home_form")
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df = add_column(df, get_method(df, False, categorize_points), "c_away_form")
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df = add_column(df, get_diff_home(df), "c_home_diff")
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df = add_column(df, get_diff_away(df), "c_away_diff")
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df = add_column(df, get_method(df, True, categorize_diff), "c_home_diff")#categorize_diff
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df = add_column(df, get_method(df, False, categorize_diff), "c_away_diff")
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df = generateFuzzyLogicData(df)
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@ -80,3 +80,4 @@ if __name__ == "__main__":
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print(calculatePoints(result,'Manchester United'))
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print(calculateGoalDifference(result, 'Manchester United'))
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print(categorize_fuzzy_passes(450,50))
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146
rules.py
146
rules.py
@ -1,48 +1,121 @@
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import simpful
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from data_filters import *
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import pandas as pd
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'''
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def kategoryzuj_strzaly(ilosc_strzalow):
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FS = FuzzySystem()
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TLV = AutoTriangle(3, terms=['mało', 'średnio', 'dużo'], universe_of_discourse=[0, 25])
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FS.add_linguistic_variable("strzaly", TLV)
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shots1 = TriangleFuzzySet(0, 0, 6, term='mało')
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shots2 = TriangleFuzzySet(6, 12, 18, term='średnio')
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shots3 = TriangleFuzzySet(12, 25, 25, term='dużo')
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FS.add_linguistic_variable("bilans", LinguisticVariable([shots1, shots2, shots3], universe_of_discourse=[0, 25]))
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FS.add_rules(["IF strzaly IS mało THEN bilans IS mało",
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"IF strzaly IS średnio THEN bilans IS średnio",
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"IF strzaly IS dużo THEN bilans IS dużo"])
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FS.set_variable("strzaly", ilosc_strzalow)
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bilans = FS.inference()
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if bilans['bilans'] >= 12:
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return 2
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elif bilans['bilans'] <= 6:
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return 0
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else:
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return 1
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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
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# 5 ostatnich spotkan miedzy druzynami - Witek
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def categorize_fuzzy_passes(passes,possession):
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def kategorie_strzalow(druzyna, sezon, data, df):
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ostatnie_spotkania = last5Matches(sezon, druzyna, data, df)
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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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shots = []
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for index, spotkanie in ostatnie_spotkania.iterrows():
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if spotkanie['home_team'] == druzyna:
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ilosc_strzalow = spotkanie['home_shots']
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else:
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ilosc_strzalow = spotkanie['away_shots']
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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_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(0,0,5, term="low") #pozmieniać przedziały (nakładają się)
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Shot_ov2 = TriangleFuzzySet(5,10,15, term="medium")
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Shot_ov3 = TriangleFuzzySet(15,25,25, 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(0,0,2, term="low")
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Shot_ont2 = TriangleFuzzySet(2,4,6, term="medium")
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Shot_ont3 = TriangleFuzzySet(6,10,10, 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 (possession IS high) THEN (quality_of_shots IS high)",
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"IF (passes IS high) AND (possession IS average) THEN (quality_of_shots IS high)",
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"IF (passes IS low) AND (possession IS average) THEN (quality_of_shots IS low)",
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"IF (passes IS average) AND (possession IS low) THEN (quality_of_shots IS average)"
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])
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kategoria = kategoryzuj_strzaly(ilosc_strzalow)
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shots.append(kategoria)
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ostatnie_spotkania['cat_shots'] = shots
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return ostatnie_spotkania
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'''
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def categorize_shots(shots):
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if shots >= 12:
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@ -82,6 +155,11 @@ def categorize_points(data, row, teamHome):
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else:
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return 1
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def get_method(data, home_away, method):
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values = []
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for index, row in data.iterrows():
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values.append(method(data, row, home_away))
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return values
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def get_points_home(data):
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points = []
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