Clear old code
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main.py
236
main.py
@ -5,242 +5,6 @@ import matplotlib.pyplot as plt
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from read_data import get_leagues_data
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import pandas as pd
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# https://pythonhosted.org/scikit-fuzzy/auto_examples/plot_tipping_problem.html
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# Variables for universes
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unv_clubs = unv_goals = unv_avgValue = unv_players = unv_teamsChL = unv_teamsEuL = unv_teamsCfL = unv_score = None
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# Variables for fuzzy membership functions
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clubs_few = clubs_some = clubs_several = clubs_many = None
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goals_few = goals_moderate = goals_many = None
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avgValue_vpoor = avgValue_poor = avgValue_mpoor = avgValue_moderate = avgValue_mrich = avgValue_rich = avgValue_vrich = None
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players_none = players_few = players_moderate = players_many = None
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teamsChL_min = teamsChL_mid = teamsChL_max = None
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teamsEuL_min = teamsEuL_mid = teamsEuL_max = None
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teamsCfL_min = teamsCfL_mid = teamsCfL_max = None
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score_tragic = score_bad = score_moderate = score_good = score_best = None
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# Activations of fuzzy membership functions
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clubs_few_level = clubs_some_level = clubs_several_level = clubs_many_level = None
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goals_few_level = goals_moderate_level = goals_many_level = None
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avgValue_vpoor_level = avgValue_poor_level = avgValue_mpoor_level = avgValue_moderate_level = avgValue_mrich_level = avgValue_rich_level = avgValue_vrich_level = None
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players_none_level = players_few_level = players_moderate_level = players_many_level = None
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teamsChL_min_level = teamsChL_mid_level = teamsChL_max_level = None
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teamsEuL_min_level = teamsEuL_mid_level = teamsEuL_max_level = None
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teamsCfL_min_level = teamsCfL_mid_level = teamsCfL_max_level = None
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def initFuzzyMembershipFunctions():
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global unv_clubs, unv_goals, unv_avgValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL, unv_score
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global clubs_few, clubs_some, clubs_several, clubs_many
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global goals_few, goals_moderate, goals_many
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global avgValue_vpoor, avgValue_poor, avgValue_mpoor, avgValue_moderate, avgValue_mrich, avgValue_rich, avgValue_vrich
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global players_none, players_few, players_moderate, players_many
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global teamsChL_min, teamsChL_mid, teamsChL_max
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global teamsEuL_min, teamsEuL_mid, teamsEuL_max
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global teamsCfL_min, teamsCfL_mid, teamsCfL_max
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global score_tragic, score_bad, score_moderate, score_good, score_best
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# Universes for variables
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unv_clubs = np.arange(2, 31, 1)
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unv_goals = np.arange(0.99, 5.01, 0.01)
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unv_avgValue = np.arange(0.01, 500.01, 0.01)
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unv_players = np.arange(0, 101, 1)
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unv_teamsChL = np.arange(0, 6, 1)
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unv_teamsEuL = np.arange(0, 6, 1)
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unv_teamsCfL = np.arange(0, 6, 1)
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# Result score universum
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unv_score = np.arange(0, 101, 1)
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# Generate fuzzy membership functions
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# trimf - triangular function
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# trapmf - trapezoidal function
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clubs_few = fuzz.trapmf(unv_clubs, [2, 2, 5, 8])
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clubs_some = fuzz.trapmf(unv_clubs, [3, 6, 9, 12])
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clubs_several = fuzz.trapmf(unv_clubs, [8, 11, 15, 18])
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clubs_many = fuzz.trapmf(unv_clubs, [15, 18, 30, 30])
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goals_few = fuzz.trapmf(unv_goals, [1.0, 1.0, 2.0, 3.0])
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goals_moderate = fuzz.trimf(unv_goals, [2.5, 3.0, 3.5])
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goals_many = fuzz.trapmf(unv_goals, [3.0, 3.5, 5.0, 5.0])
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avgValue_vpoor = fuzz.trapmf(unv_avgValue, [0.01, 0.01, 1.0, 2.0])
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avgValue_poor = fuzz.trimf(unv_avgValue, [1.0, 5.0, 15.0])
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avgValue_mpoor = fuzz.trimf(unv_avgValue, [7.5, 20.0, 50.0])
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avgValue_moderate = fuzz.trimf(unv_avgValue, [20.0, 50.0, 100.0])
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avgValue_mrich = fuzz.trimf(unv_avgValue, [50.0, 100.0, 175.0])
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avgValue_rich = fuzz.trimf(unv_avgValue, [150.0, 200.0, 275.0])
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avgValue_vrich = fuzz.trapmf(unv_avgValue, [200.0, 300.0, 500.0, 500.0])
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players_none = fuzz.trimf(unv_players, [0, 0, 1])
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players_few = fuzz.trapmf(unv_players, [1, 5, 10, 15])
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players_moderate = fuzz.trapmf(unv_players, [10, 15, 20, 25])
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players_many = fuzz.trapmf(unv_players, [20, 25, 100, 100])
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teamsChL_min = fuzz.trapmf(unv_teamsChL, [0, 0, 1, 2])
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teamsChL_mid = fuzz.trapmf(unv_teamsChL, [1, 2, 3, 4])
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teamsChL_max = fuzz.trapmf(unv_teamsChL, [3, 4, 5, 5])
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teamsEuL_min = fuzz.trimf(unv_teamsEuL, [0, 0, 1])
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teamsEuL_mid = fuzz.trimf(unv_teamsEuL, [0, 1, 2])
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teamsEuL_max = fuzz.trapmf(unv_teamsEuL, [1, 2, 5, 5])
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teamsCfL_min = fuzz.trapmf(unv_teamsCfL, [0, 0, 1, 2])
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teamsCfL_mid = fuzz.trimf(unv_teamsCfL, [1, 2, 3])
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teamsCfL_max = fuzz.trapmf(unv_teamsCfL, [2, 3, 5, 5])
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score_tragic = fuzz.trapmf(unv_score, [0, 0, 15, 25])
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score_bad = fuzz.trapmf(unv_score, [15, 25, 35, 45])
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score_moderate = fuzz.trapmf(unv_score, [35, 45, 55, 65])
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score_good = fuzz.trapmf(unv_score, [55, 65, 75, 85])
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score_best = fuzz.trapmf(unv_score, [75, 85, 100, 100])
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def activateFuzzyMembershipFunctions(values):
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global unv_clubs, unv_goals, unv_avgValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL
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global clubs_few, clubs_some, clubs_several, clubs_many
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global goals_few, goals_moderate, goals_many
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global avgValue_vpoor, avgValue_poor, avgValue_mpoor, avgValue_moderate, avgValue_mrich, avgValue_rich, avgValue_vrich
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global players_none, players_few, players_moderate, players_many
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global teamsChL_min, teamsChL_mid, teamsChL_max
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global teamsEuL_min, teamsEuL_mid, teamsEuL_max
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global teamsCfL_min, teamsCfL_mid, teamsCfL_max
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global clubs_few_level, clubs_some_level, clubs_several_level, clubs_many_level
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global goals_few_level, goals_moderate_level, goals_many_level
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global avgValue_vpoor_level, avgValue_poor_level, avgValue_mpoor_level, avgValue_moderate_level, avgValue_mrich_level, avgValue_rich_level, avgValue_vrich_level
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global players_none_level, players_few_level, players_moderate_level, players_many_level
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global teamsChL_min_level, teamsChL_mid_level, teamsChL_max_level
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global teamsEuL_min_level, teamsEuL_mid_level, teamsEuL_max_level
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global teamsCfL_min_level, teamsCfL_mid_level, teamsCfL_max_level
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# Activation of fuzzy membership functions at given values.
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clubs_few_level = fuzz.interp_membership(unv_clubs, clubs_few, values['clubs'])
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clubs_some_level = fuzz.interp_membership(unv_clubs, clubs_some, values['clubs'])
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clubs_several_level = fuzz.interp_membership(unv_clubs, clubs_several, values['clubs'])
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clubs_many_level = fuzz.interp_membership(unv_clubs, clubs_many, values['clubs'])
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goals_few_level = fuzz.interp_membership(unv_goals, goals_few, values['goalsPerMatch'])
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goals_moderate_level = fuzz.interp_membership(unv_goals, goals_moderate, values['goalsPerMatch'])
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goals_many_level = fuzz.interp_membership(unv_goals, goals_many, values['goalsPerMatch'])
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avgValue_vpoor_level = fuzz.interp_membership(unv_avgValue, avgValue_vpoor, values['avgMarketValueInMln'])
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avgValue_poor_level = fuzz.interp_membership(unv_avgValue, avgValue_poor, values['avgMarketValueInMln'])
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avgValue_mpoor_level = fuzz.interp_membership(unv_avgValue, avgValue_mpoor, values['avgMarketValueInMln'])
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avgValue_moderate_level = fuzz.interp_membership(unv_avgValue, avgValue_moderate, values['avgMarketValueInMln'])
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avgValue_mrich_level = fuzz.interp_membership(unv_avgValue, avgValue_mrich, values['avgMarketValueInMln'])
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avgValue_rich_level = fuzz.interp_membership(unv_avgValue, avgValue_rich, values['avgMarketValueInMln'])
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avgValue_vrich_level = fuzz.interp_membership(unv_avgValue, avgValue_vrich, values['avgMarketValueInMln'])
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players_none_level = fuzz.interp_membership(unv_players, players_none, values['famousPlayers'])
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players_few_level = fuzz.interp_membership(unv_players, players_few, values['famousPlayers'])
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players_moderate_level = fuzz.interp_membership(unv_players, players_moderate, values['famousPlayers'])
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players_many_level = fuzz.interp_membership(unv_players, players_many, values['famousPlayers'])
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teamsChL_min_level = fuzz.interp_membership(unv_teamsChL, teamsChL_min, values['teamsInChampionsLeague'])
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teamsChL_mid_level = fuzz.interp_membership(unv_teamsChL, teamsChL_mid, values['teamsInChampionsLeague'])
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teamsChL_max_level = fuzz.interp_membership(unv_teamsChL, teamsChL_max, values['teamsInChampionsLeague'])
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teamsEuL_min_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_min, values['teamsInEuropaLeague'])
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teamsEuL_mid_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_mid, values['teamsInEuropaLeague'])
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teamsEuL_max_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_max, values['teamsInEuropaLeague'])
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teamsCfL_min_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_min, values['teamsInConferenceLeague'])
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teamsCfL_mid_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_mid, values['teamsInConferenceLeague'])
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teamsCfL_max_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_max, values['teamsInConferenceLeague'])
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def defineRules():
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global clubs_few_level, clubs_some_level, clubs_several_level, clubs_many_level
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global goals_few_level, goals_moderate_level, goals_many_level
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global avgValue_vpoor_level, avgValue_poor_level, avgValue_mpoor_level, avgValue_moderate_level, avgValue_mrich_level, avgValue_rich_level, avgValue_vrich_level
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global players_none_level, players_few_level, players_moderate_level, players_many_level
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global teamsChL_min_level, teamsChL_mid_level, teamsChL_max_level
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global teamsEuL_min_level, teamsEuL_mid_level, teamsEuL_max_level
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global teamsCfL_min_level, teamsCfL_mid_level, teamsCfL_max_level
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global score_tragic, score_bad, score_moderate, score_good, score_best, unv_score
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# OR zmienić na AND (bo Or wybija wysokie wartości)
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active_rule1 = np.fmax(clubs_some_level,
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np.fmax(clubs_few_level,
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np.fmax(goals_few_level,
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np.fmax(avgValue_mpoor_level,
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np.fmax(avgValue_poor_level,
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np.fmax(avgValue_vpoor_level,
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np.fmax(players_none_level,
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np.fmax(teamsChL_min_level,
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np.fmax(teamsEuL_min_level,
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np.fmax(teamsCfL_max_level, teamsCfL_mid_level))))))))))
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active_rule2 = np.fmax(clubs_several_level,
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np.fmax(clubs_some_level,
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np.fmax(clubs_few_level,
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np.fmax(goals_moderate_level,
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np.fmax(goals_few_level,
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np.fmax(avgValue_moderate_level,
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np.fmax(avgValue_mpoor_level,
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np.fmax(avgValue_poor_level,
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np.fmax(players_few_level,
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np.fmax(players_none_level,
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np.fmax(teamsChL_min_level,
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np.fmax(teamsEuL_min_level,
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np.fmax(teamsCfL_max_level, teamsCfL_mid_level)))))))))))))
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active_rule3 = np.fmax(clubs_several_level,
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np.fmax(clubs_some_level,
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np.fmax(goals_moderate_level,
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np.fmax(avgValue_mrich_level,
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np.fmax(avgValue_moderate_level,
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np.fmax(avgValue_mpoor_level,
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np.fmax(players_moderate_level,
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np.fmax(players_few_level,
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np.fmax(teamsChL_mid_level,
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np.fmax(teamsChL_min_level,
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np.fmax(teamsEuL_mid_level,
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np.fmax(teamsEuL_min_level,
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np.fmax(teamsCfL_max_level, teamsCfL_mid_level)))))))))))))
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active_rule4 = np.fmax(clubs_many_level,
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np.fmax(clubs_several_level,
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np.fmax(goals_many_level,
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np.fmax(goals_moderate_level,
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np.fmax(avgValue_vrich_level,
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np.fmax(avgValue_rich_level,
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np.fmax(avgValue_mrich_level,
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np.fmax(players_many_level,
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np.fmax(players_moderate_level,
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np.fmax(teamsChL_mid_level,
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np.fmax(teamsEuL_mid_level, teamsCfL_mid_level)))))))))))
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active_rule5 = np.fmax(clubs_many_level,
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np.fmax(goals_many_level,
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np.fmax(avgValue_vrich_level,
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np.fmax(players_many_level,
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np.fmax(teamsChL_max_level,
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np.fmax(teamsEuL_max_level, teamsCfL_min_level))))))
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score_activation_tragic = np.fmin(active_rule1, score_tragic)
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score_activation_bad = np.fmin(active_rule2, score_bad)
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score_activation_moderate = np.fmin(active_rule3, score_moderate)
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score_activation_good = np.fmin(active_rule4, score_good)
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score_activation_best = np.fmin(active_rule5, score_best)
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aggregated_rules = np.fmax(score_activation_tragic, np.fmax(score_activation_bad, np.fmax(score_activation_moderate, np.fmax(score_activation_good, score_activation_best))))
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# active_rule1 = np.fmax(qual_level_lo, serv_level_lo)
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# tip_activation_lo = np.fmin(active_rule1, tip_lo) # removed entirely to 0
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#
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#
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# tip_activation_md = np.fmin(serv_level_md, tip_md)
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#
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# active_rule3 = np.fmax(qual_level_hi, serv_level_hi)
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# tip_activation_hi = np.fmin(active_rule3, tip_hi)
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#
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# aggregated_rules = np.fmax(tip_activation_lo, np.fmax(tip_activation_md, tip_activation_hi))
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score = fuzz.defuzz(unv_score, aggregated_rules, 'centroid')
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score_activation = fuzz.interp_membership(unv_score, aggregated_rules, score) # for plot
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return score_activation
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class LeagueController:
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clubs = None
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goals = None
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55
res2.csv
Normal file
55
res2.csv
Normal file
@ -0,0 +1,55 @@
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League,Score
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Premier League,89.79166666666667
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LaLiga,87.99305555555551
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Serie A,69.99999999999997
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Bundesliga,69.99999999999997
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Ligue 1,70.0
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Liga Bwin,50.0
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Eredivisie,50.0
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Bundesliga,50.0
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Premiership,50.0
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Premier Liga,50.0
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Premier Liga,50.0
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Super liga Srbije,16.06985926699488
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Jupiler Pro League,50.0
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Super League,16.720238095238116
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Protathlima Cyta,37.46376811594203
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1.HNL,19.502537932480898
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Fortuna Liga,50.0
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Super Lig,50.0
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Super League 1,16.72023809523811
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Superligaen,50.0
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Eliteserien,18.708853030574293
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Ligat ha'Al,18.452797318931577
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Allsvenskan,16.373584957387074
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efbet Liga,18.30879493889046
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Premyer Liqa,16.513252197430706
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Liga 1,16.563786394400363
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Ekstraklasa,17.799929815326582
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NB I.,16.607555033649284
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Fortuna Liga,17.47128703953887
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Premier Liga,17.017969510028376
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Prva Liga,18.027979553403277
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Vysheyshaya Liga,16.92098939265932
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Divizia Nationala,17.47128703953887
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A Lyga,16.945442256089507
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Premijer Liga,18.93687055144107
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Veikkausliiga,18.118481435127244
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BGL Ligue,13.732949223788575
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Virsliga,17.81954033134955
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BKT Superliga e Kosovës,40.104166666666664
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Premier Division,12.170932536120004
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Premiership,14.77821484228063
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Kategoria Superiore,17.47128703953886
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Bardzragujn khumb,18.027979553403277
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Betri-deildin,40.104166666666664
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Premium Liiga,40.104166666666664
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Premier League,17.576907528891994
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Crystalbet Erovnuli Liga,17.384648906569666
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Prva liga,16.993931364085164
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Cymru Premier,10.990792282448856
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Gibraltar National League,10.208333333333334
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Pepsi Max deild,13.976944727639466
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1. CFL,16.945442256089507
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Primera Divisió,40.104166666666664
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Camp. Sammarinese,40.104166666666664
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