diff --git a/.gitignore b/.gitignore index 60c38d6..8fff4a7 100644 --- a/.gitignore +++ b/.gitignore @@ -112,6 +112,7 @@ venv/ ENV/ env.bak/ venv.bak/ +fcl-venv/ # Spyder project settings .spyderproject @@ -137,8 +138,6 @@ dmypy.json # Cython debug symbols cython_debug/ -#Virtual env -fcl-venv/ #Other .idea/ diff --git a/leagues.csv b/leagues.csv index d1d65f7..41fec5c 100644 --- a/leagues.csv +++ b/leagues.csv @@ -1,4 +1,4 @@ -league;country;clubs;goalsPerMatch;totalMarketValueInMln;avgMarketValueInMln;teamsInChampionsLeague;teamsInEuropaLeague;teamsInConferenceLeague;famousPlayers +league;country;clubs;goalsPerMatch;avgMarketValueInMln;totalMarketValueInMln;teamsInChampionsLeague;teamsInEuropaLeague;teamsInConferenceLeague;famousPlayers Premier League;England;20;2.78;453.95;9080.0;4;2;1;35 LaLiga;Spain;20;2.45;246.89;4940.0;4;2;1;21 Serie A;Italy;20;3.05;245.69;4910.0;4;2;1;17 @@ -52,4 +52,4 @@ Gibraltar National League;Gibraltar;11;3.68;1.01;11.11;1;0;3;0 Pepsi Max deild;Iceland;12;2.83;1.75;20.98;1;0;3;0 1. CFL;Montenegro;10;2.46;2.69;26.90;1;0;3;0 Primera Divisió;Andorra;8;2.80;1.38;11.05;1;0;2;0 -Camp. Sammarinese;San Marino;15;2.67;0.333;4.99;1;0;2;0 \ No newline at end of file +Camp. Sammarinese;San Marino;15;2.67;0.33;4.99;1;0;2;0 \ No newline at end of file diff --git a/main.py b/main.py new file mode 100644 index 0000000..7eed1e0 --- /dev/null +++ b/main.py @@ -0,0 +1,223 @@ +import numpy as np +import skfuzzy as fuzz +import matplotlib.pyplot as plt + +# https://pythonhosted.org/scikit-fuzzy/auto_examples/plot_tipping_problem.html + +# Variables for universes +unv_clubs = unv_goals = unv_avgValue = unv_totValue = unv_players = unv_teamsChL = unv_teamsEuL = unv_teamsCfL = unv_score = None + +# Variables for fuzzy membership functions +clubs_low = clubs_mid = clubs_hig = None +goals_low = goals_mid = goals_hig = None +avgValue_low = avgValue_mid = avgValue_hig = None +totValue_low = totValue_mid = totValue_hig = None +players_low = players_mid = players_hig = None +teamsChL_low = teamsChL_mid = teamsChL_hig = None +teamsEuL_low = teamsEuL_mid = teamsEuL_hig = None +teamsCfL_low = teamsCfL_mid = teamsCfL_hig = None +score_low = score_mid = score_hig = None + +# Activations of fuzzy membership functions +clubs_low_level = clubs_mid_level = clubs_hig_level = None +goals_low_level = goals_mid_level = goals_hig_level = None +avgValue_low_level = avgValue_mid_level = avgValue_hig_level = None +totValue_low_level = totValue_mid_level = totValue_hig_level = None +players_low_level = players_mid_level = players_hig_level = None +teamsChL_low_level = teamsChL_mid_level = teamsChL_hig_level = None +teamsEuL_low_level = teamsEuL_mid_level = teamsEuL_hig_level = None +teamsCfL_low_level = teamsCfL_mid_level = teamsCfL_hig_level = None + + +def initFuzzyMembershipFunctions(): + global unv_clubs, unv_goals, unv_avgValue, unv_totValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL, unv_score + global clubs_low, clubs_mid, clubs_hig + global goals_low, goals_mid, goals_hig + global avgValue_low, avgValue_mid, avgValue_hig + global totValue_low, totValue_mid, totValue_hig + global players_low, players_mid, players_hig + global teamsChL_low, teamsChL_mid, teamsChL_hig + global teamsEuL_low, teamsEuL_mid, teamsEuL_hig + global teamsCfL_low, teamsCfL_mid, teamsCfL_hig + global score_low, score_mid, score_hig + + # Universes for variables + unv_clubs = np.arange(2, 31, 1) + unv_goals = np.arange(2, 4, 0.01) + unv_avgValue = np.arange(0.01, 500.0, 0.01) + unv_totValue = np.arange(0.01, 10000.0, 0.01) + unv_players = np.arange(0, 100, 1) + unv_teamsChL = np.arange(0, 10, 1) + unv_teamsEuL = np.arange(0, 10, 1) + unv_teamsCfL = np.arange(0, 10, 1) + # Result score universum + unv_score = np.arange(0, 100, 1) + + # Generate fuzzy membership functions + # trimf - triangular function + # trapmf - trapezoidal function + clubs_low = fuzz.trapmf(unv_clubs, [2, 2, 10, 14]) + clubs_mid = fuzz.trapmf(unv_clubs, [10, 12, 16, 18]) + clubs_hig = fuzz.trapmf(unv_clubs, [14, 16, 30, 30]) + + goals_low = fuzz.trapmf(unv_goals, [2.0, 2.0, 2.5, 3.0]) + goals_mid = fuzz.trapmf(unv_goals, [2.0, 2.5, 3.0, 3.5]) + goals_hig = fuzz.trapmf(unv_goals, [3.0, 3.5, 4.0, 4.0]) + + avgValue_low = fuzz.trapmf(unv_avgValue, [0.01, 0.01, 100.0, 150.0]) + avgValue_mid = fuzz.trapmf(unv_avgValue, [100.0, 150.0, 350.0, 400.0]) + avgValue_hig = fuzz.trapmf(unv_avgValue, [350.0, 400.0, 500.0, 500.0]) + + totValue_low = fuzz.trapmf(unv_totValue, [0.01, 0.01, 1000.0, 2000.0]) + totValue_mid = fuzz.trapmf(unv_totValue, [1000.0, 2000.0, 7000.0, 8000.0]) + totValue_hig = fuzz.trapmf(unv_totValue, [7000.0, 8000.0, 10000.0, 10000.0]) + + players_low = fuzz.trapmf(unv_players, [0, 0, 5, 10]) + players_mid = fuzz.trapmf(unv_players, [5, 10, 15, 20]) + players_hig = fuzz.trapmf(unv_players, [15, 20, 100, 100]) + + teamsChL_low = fuzz.trapmf(unv_teamsChL, [0, 0, 1, 2]) + teamsChL_mid = fuzz.trimf(unv_teamsChL, [1, 2, 3]) + teamsChL_hig = fuzz.trapmf(unv_teamsChL, [2, 3, 10, 10]) + + teamsEuL_low = fuzz.trapmf(unv_teamsEuL, [0, 0, 1, 2]) + teamsEuL_mid = fuzz.trimf(unv_teamsEuL, [1, 2, 3]) + teamsEuL_hig = fuzz.trapmf(unv_teamsEuL, [2, 3, 10, 10]) + + teamsCfL_low = fuzz.trapmf(unv_teamsCfL, [0, 0, 1, 2]) + teamsCfL_mid = fuzz.trimf(unv_teamsCfL, [1, 2, 3]) + teamsCfL_hig = fuzz.trapmf(unv_teamsCfL, [2, 3, 10, 10]) + + score_low = fuzz.trapmf(unv_score, [0, 0, 20, 40]) + score_mid = fuzz.trapmf(unv_score, [20, 40, 60, 80]) + score_hig = fuzz.trapmf(unv_score, [60, 80, 100, 100]) + + +def activateFuzzyMembershipFunctions(values): + global unv_clubs, unv_goals, unv_avgValue, unv_totValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL + global clubs_low, clubs_mid, clubs_hig + global goals_low, goals_mid, goals_hig + global avgValue_low, avgValue_mid, avgValue_hig + global totValue_low, totValue_mid, totValue_hig + global players_low, players_mid, players_hig + global teamsChL_low, teamsChL_mid, teamsChL_hig + global teamsEuL_low, teamsEuL_mid, teamsEuL_hig + global teamsCfL_low, teamsCfL_mid, teamsCfL_hig + global clubs_low_level, clubs_mid_level, clubs_hig_level + global goals_low_level, goals_mid_level, goals_hig_level + global avgValue_low_level, avgValue_mid_level, avgValue_hig_level + global totValue_low_level, totValue_mid_level, totValue_hig_level + global players_low_level, players_mid_level, players_hig_level + global teamsChL_low_level, teamsChL_mid_level, teamsChL_hig_level + global teamsEuL_low_level, teamsEuL_mid_level, teamsEuL_hig_level + global teamsCfL_low_level, teamsCfL_mid_level, teamsCfL_hig_level + + # Activation of fuzzy membership functions at given values. + clubs_low_level = fuzz.interp_membership(unv_clubs, clubs_low, values['clubs']) + clubs_mid_level = fuzz.interp_membership(unv_clubs, clubs_mid, values['clubs']) + clubs_hig_level = fuzz.interp_membership(unv_clubs, clubs_hig, values['clubs']) + + goals_low_level = fuzz.interp_membership(unv_goals, goals_low, values['goals']) + goals_mid_level = fuzz.interp_membership(unv_goals, goals_mid, values['goals']) + goals_hig_level = fuzz.interp_membership(unv_goals, goals_hig, values['goals']) + + avgValue_low_level = fuzz.interp_membership(unv_avgValue, avgValue_low, values['avgValue']) + avgValue_mid_level = fuzz.interp_membership(unv_avgValue, avgValue_mid, values['avgValue']) + avgValue_hig_level = fuzz.interp_membership(unv_avgValue, avgValue_hig, values['avgValue']) + + totValue_low_level = fuzz.interp_membership(unv_totValue, totValue_low, values['totValue']) + totValue_mid_level = fuzz.interp_membership(unv_totValue, totValue_mid, values['totValue']) + totValue_hig_level = fuzz.interp_membership(unv_totValue, totValue_hig, values['totValue']) + + players_low_level = fuzz.interp_membership(unv_players, players_low, values['players']) + players_mid_level = fuzz.interp_membership(unv_players, players_mid, values['players']) + players_hig_level = fuzz.interp_membership(unv_players, players_hig, values['players']) + + teamsChL_low_level = fuzz.interp_membership(unv_teamsChL, teamsChL_low, values['teamsChL']) + teamsChL_mid_level = fuzz.interp_membership(unv_teamsChL, teamsChL_mid, values['teamsChL']) + teamsChL_hig_level = fuzz.interp_membership(unv_teamsChL, teamsChL_hig, values['teamsChL']) + + teamsEuL_low_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_low, values['teamsEuL']) + teamsEuL_mid_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_mid, values['teamsEuL']) + teamsEuL_hig_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_hig, values['teamsEuL']) + + teamsCfL_low_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_low, values['teamsCfL']) + teamsCfL_mid_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_mid, values['teamsCfL']) + teamsCfL_hig_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_hig, values['teamsCfL']) + + +def defineRules(): + global clubs_low_level, clubs_mid_level, clubs_hig_level + global goals_low_level, goals_mid_level, goals_hig_level + global avgValue_low_level, avgValue_mid_level, avgValue_hig_level + global totValue_low_level, totValue_mid_level, totValue_hig_level + global players_low_level, players_mid_level, players_hig_level + global teamsChL_low_level, teamsChL_mid_level, teamsChL_hig_level + global teamsEuL_low_level, teamsEuL_mid_level, teamsEuL_hig_level + global teamsCfL_low_level, teamsCfL_mid_level, teamsCfL_hig_level + global score_low, score_mid, score_hig, unv_score + + # OR + active_rule1 = np.fmax(clubs_low_level, + np.fmax(goals_low_level, + np.fmax(avgValue_low_level, + np.fmax(totValue_low_level, + np.fmax(players_low_level, + np.fmax(teamsChL_low_level, + np.fmax(teamsEuL_low_level, teamsCfL_low_level))))))) + + active_rule2 = np.fmax(clubs_mid_level, + np.fmax(goals_mid_level, + np.fmax(avgValue_mid_level, + np.fmax(totValue_mid_level, + np.fmax(players_mid_level, + np.fmax(teamsChL_mid_level, + np.fmax(teamsEuL_mid_level, teamsCfL_mid_level))))))) + + active_rule3 = np.fmax(clubs_hig_level, + np.fmax(goals_hig_level, + np.fmax(avgValue_hig_level, + np.fmax(totValue_hig_level, + np.fmax(players_hig_level, + np.fmax(teamsChL_hig_level, + np.fmax(teamsEuL_hig_level, teamsCfL_hig_level))))))) + + score_activation_low = np.fmin(active_rule1, score_low) + score_activation_mid = np.fmin(active_rule2, score_mid) + score_activation_hig = np.fmin(active_rule3, score_hig) + + aggregated_rules = np.fmax(score_activation_low, np.fmax(score_activation_mid, score_activation_hig)) + + # active_rule1 = np.fmax(qual_level_lo, serv_level_lo) + # tip_activation_lo = np.fmin(active_rule1, tip_lo) # removed entirely to 0 + # + # + # tip_activation_md = np.fmin(serv_level_md, tip_md) + # + # active_rule3 = np.fmax(qual_level_hi, serv_level_hi) + # tip_activation_hi = np.fmin(active_rule3, tip_hi) + # + # aggregated_rules = np.fmax(tip_activation_lo, np.fmax(tip_activation_md, tip_activation_hi)) + + score = fuzz.defuzz(unv_score, aggregated_rules, 'centroid') + score_activation = fuzz.interp_membership(unv_score, aggregated_rules, score) # for plot + return score_activation + + +if __name__ == "__main__": + values = {} + values['clubs'] = 18 + values['goals'] = 2.76 + values['avgValue'] = 14.16 + values['totValue'] = 254.90 + values['players'] = 0 + values['teamsChL'] = 1 + values['teamsEuL'] = 0 + values['teamsCfL'] = 3 + + initFuzzyMembershipFunctions() + activateFuzzyMembershipFunctions(values) + result = defineRules() + print(f"Ekstraklasa score is: {result}") + + #plt.show() \ No newline at end of file