Logic update

leagues-backup.csv

@@ -0,0 +1,55 @@
+leagueName;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
+Bundesliga;Germany;18;3.04;233.67;4210.0;4;2;1;15
+Ligue 1;France;20;2.83;185.93;3720.0;3;2;1;10
+Liga Bwin;Portugal;18;2.66;64.83;1170.0;3;1;2;0
+Eredivisie;Netherlands;18;2.97;51.78;932.08;2;1;2;0
+Bundesliga;Austria;12;2.95;27.67;332.0;2;1;2;1
+Premiership;Scotland;12;2.52;22.98;275.78;2;1;2;0
+Premier Liga;Russia;16;2.69;60.99;975.8;2;1;2;0
+Premier Liga;Ukraine;16;2.67;28.07;449.18;2;1;2;0
+Super liga Srbije;Serbia;16;2.74;11.60;185.58;1;0;3;0
+Jupiler Pro League;Belgium;18;3.08;46.38;834.9;2;1;2;0
+Super League;Switzerland;10;3.30;28.59;285.93;1;0;3;0
+Protathlima Cyta;Cyprus;12;2.23;11.00;131.95;1;1;2;0
+1.HNL;Croatia;10;2.95;25.51;255.11;1;0;3;0
+Fortuna Liga;Czech Republic;16;3.08;15.60;249.63;2;1;2;0
+Super Lig;Turkey;20;2.63;46.27;925.45;2;1;2;0
+Super League 1;Greece;14;2.60;25.19;352.68;1;0;3;0
+Superligaen;Denmark;12;2.74;20.14;241.68;2;1;2;0
+Eliteserien;Norway;16;3.04;8.46;135.43;1;0;3;0
+Ligat ha'Al;Israel;14;2.38;8.88;124.38;1;0;3;0
+Allsvenskan;Sweden;16;2.63;11.33;181.29;1;0;3;0
+efbet Liga;Bulgaria;14;2.41;8.50;118.94;1;0;3;0
+Premyer Liqa;Azerbaijan;8;2.69;6.36;50.91;1;0;3;0
+Liga 1;Romania;16;2.12;12.31;196.89;1;0;3;0
+Ekstraklasa;Poland;18;2.76;14.16;254.90;1;0;3;0
+NB I.;Hungary;12;3.19;11.11;133.38;1;0;3;0
+Fortuna Liga;Slovakia;12;2.74;6.75;81.04;1;0;3;0
+Premier Liga;Kazakhstan;14;2.57;7.92;110.85;1;0;3;0
+Prva Liga;Slovenia;10;2.45;5.41;54.12;1;0;3;0
+Vysheyshaya Liga;Belarus;16;2.71;4.92;78.73;1;0;3;0
+Divizia Nationala;Moldova;8;3.26;4.96;39.67;1;0;3;0
+A Lyga;Lithuania;10;2.74;2.69;26.88;1;0;3;0
+Premijer Liga;Bosnia-Herzegovina;12;2.27;3.78;45.41;1;0;3;0
+Veikkausliiga;Finland;12;2.35;3.25;38.99;1;0;3;0
+BGL Ligue;Luxembourg;16;3.38;1.69;27.06;1;0;3;0
+Virsliga;Latvia;9;3.02;3.09;27.80;1;0;3;0
+BKT Superliga e Kosovës;Kosovo;10;2.11;2.34;22.43;1;0;2;0
+Premier Division;Republic of Ireland;10;2.54;1.35;13.46;1;0;3;0
+Premiership;Northern Ireland;12;2.85;1.96;23.50;1;0;3;0
+Kategoria Superiore;Albania;10;2.52;4.15;41.50;1;0;3;0
+Bardzragujn khumb;Armenia;10;2.45;4.08;40.79;1;0;3;0
+Betri-deildin;Faroe Islands;10;3.63;1.13;11.29;1;0;2;0
+Premium Liiga;Estonia;10;3.29;2.48;24.81;1;0;2;0
+Premier League;Malta;12;2.87;2.97;35.65;1;0;3;0
+Crystalbet Erovnuli Liga;Georgia;10;2.53;3.70;37.00;1;0;3;0
+Prva liga;North Macedonia;12;2.41;2.71;32.57;1;0;3;0
+Cymru Premier;Wales;12;2.78;1.13;13.57;1;0;3;0
+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;0.33;4.99;1;0;2;0

leagues.csv

@@ -1,55 +1,55 @@
-leagueName;country;clubs;goalsPerMatch;avgMarketValueInMln;totalMarketValueInMln;teamsInChampionsLeague;teamsInEuropaLeague;teamsInConferenceLeague;famousPlayers
+leagueName;country;clubs;goalsPerMatch;avgMarketValueInMln;teamsInChampionsLeague;teamsInEuropaLeague;teamsInConferenceLeague;famousPlayers
-Premier League;England;20;2.78;453.95;9080.0;4;2;1;35
+Premier League;England;20;2.78;453.95;4;2;1;35
-LaLiga;Spain;20;2.45;246.89;4940.0;4;2;1;21
+LaLiga;Spain;20;2.45;246.89;4;2;1;21
-Serie A;Italy;20;3.05;245.69;4910.0;4;2;1;17
+Serie A;Italy;20;3.05;245.69;4;2;1;17
-Bundesliga;Germany;18;3.04;233.67;4210.0;4;2;1;15
+Bundesliga;Germany;18;3.04;233.67;4;2;1;15
-Ligue 1;France;20;2.83;185.93;3720.0;3;2;1;10
+Ligue 1;France;20;2.83;185.93;3;2;1;10
-Liga Bwin;Portugal;18;2.66;64.83;1170.0;3;1;2;0
+Liga Bwin;Portugal;18;2.66;64.83;3;1;2;0
-Eredivisie;Netherlands;18;2.97;51.78;932.08;2;1;2;0
+Eredivisie;Netherlands;18;2.97;51.78;2;1;2;0
-Bundesliga;Austria;12;2.95;27.67;332.0;2;1;2;1
+Bundesliga;Austria;12;2.95;27.67;2;1;2;1
-Premiership;Scotland;12;2.52;22.98;275.78;2;1;2;0
+Premiership;Scotland;12;2.52;22.98;2;1;2;0
-Premier Liga;Russia;16;2.69;60.99;975.8;2;1;2;0
+Premier Liga;Russia;16;2.69;60.99;2;1;2;0
-Premier Liga;Ukraine;16;2.67;28.07;449.18;2;1;2;0
+Premier Liga;Ukraine;16;2.67;28.07;2;1;2;0
-Super liga Srbije;Serbia;16;2.74;11.60;185.58;1;0;3;0
+Super liga Srbije;Serbia;16;2.74;11.60;1;0;3;0
-Jupiler Pro League;Belgium;18;3.08;46.38;834.9;2;1;2;0
+Jupiler Pro League;Belgium;18;3.08;46.38;2;1;2;0
-Super League;Switzerland;10;3.30;28.59;285.93;1;0;3;0
+Super League;Switzerland;10;3.30;28.59;1;0;3;0
-Protathlima Cyta;Cyprus;12;2.23;11.00;131.95;1;1;2;0
+Protathlima Cyta;Cyprus;12;2.23;11.00;1;1;2;0
-1.HNL;Croatia;10;2.95;25.51;255.11;1;0;3;0
+1.HNL;Croatia;10;2.95;25.51;1;0;3;0
-Fortuna Liga;Czech Republic;16;3.08;15.60;249.63;2;1;2;0
+Fortuna Liga;Czech Republic;16;3.08;15.60;2;1;2;0
-Super Lig;Turkey;20;2.63;46.27;925.45;2;1;2;0
+Super Lig;Turkey;20;2.63;46.27;2;1;2;0
-Super League 1;Greece;14;2.60;25.19;352.68;1;0;3;0
+Super League 1;Greece;14;2.60;25.19;1;0;3;0
-Superligaen;Denmark;12;2.74;20.14;241.68;2;1;2;0
+Superligaen;Denmark;12;2.74;20.14;2;1;2;0
-Eliteserien;Norway;16;3.04;8.46;135.43;1;0;3;0
+Eliteserien;Norway;16;3.04;8.46;1;0;3;0
-Ligat ha'Al;Israel;14;2.38;8.88;124.38;1;0;3;0
+Ligat ha'Al;Israel;14;2.38;8.88;1;0;3;0
-Allsvenskan;Sweden;16;2.63;11.33;181.29;1;0;3;0
+Allsvenskan;Sweden;16;2.63;11.33;1;0;3;0
-efbet Liga;Bulgaria;14;2.41;8.50;118.94;1;0;3;0
+efbet Liga;Bulgaria;14;2.41;8.50;1;0;3;0
-Premyer Liqa;Azerbaijan;8;2.69;6.36;50.91;1;0;3;0
+Premyer Liqa;Azerbaijan;8;2.69;6.36;1;0;3;0
-Liga 1;Romania;16;2.12;12.31;196.89;1;0;3;0
+Liga 1;Romania;16;2.12;12.31;1;0;3;0
-Ekstraklasa;Poland;18;2.76;14.16;254.90;1;0;3;0
+Ekstraklasa;Poland;18;2.76;14.16;1;0;3;0
-NB I.;Hungary;12;3.19;11.11;133.38;1;0;3;0
+NB I.;Hungary;12;3.19;11.11;1;0;3;0
-Fortuna Liga;Slovakia;12;2.74;6.75;81.04;1;0;3;0
+Fortuna Liga;Slovakia;12;2.74;6.75;1;0;3;0
-Premier Liga;Kazakhstan;14;2.57;7.92;110.85;1;0;3;0
+Premier Liga;Kazakhstan;14;2.57;7.92;1;0;3;0
-Prva Liga;Slovenia;10;2.45;5.41;54.12;1;0;3;0
+Prva Liga;Slovenia;10;2.45;5.41;1;0;3;0
-Vysheyshaya Liga;Belarus;16;2.71;4.92;78.73;1;0;3;0
+Vysheyshaya Liga;Belarus;16;2.71;4.92;1;0;3;0
-Divizia Nationala;Moldova;8;3.26;4.96;39.67;1;0;3;0
+Divizia Nationala;Moldova;8;3.26;4.96;1;0;3;0
-A Lyga;Lithuania;10;2.74;2.69;26.88;1;0;3;0
+A Lyga;Lithuania;10;2.74;2.69;1;0;3;0
-Premijer Liga;Bosnia-Herzegovina;12;2.27;3.78;45.41;1;0;3;0
+Premijer Liga;Bosnia-Herzegovina;12;2.27;3.78;1;0;3;0
-Veikkausliiga;Finland;12;2.35;3.25;38.99;1;0;3;0
+Veikkausliiga;Finland;12;2.35;3.25;1;0;3;0
-BGL Ligue;Luxembourg;16;3.38;1.69;27.06;1;0;3;0
+BGL Ligue;Luxembourg;16;3.38;1.69;1;0;3;0
-Virsliga;Latvia;9;3.02;3.09;27.80;1;0;3;0
+Virsliga;Latvia;9;3.02;3.09;1;0;3;0
-BKT Superliga e Kosovës;Kosovo;10;2.11;2.34;22.43;1;0;2;0
+BKT Superliga e Kosovës;Kosovo;10;2.11;2.34;1;0;2;0
-Premier Division;Republic of Ireland;10;2.54;1.35;13.46;1;0;3;0
+Premier Division;Republic of Ireland;10;2.54;1.35;1;0;3;0
-Premiership;Northern Ireland;12;2.85;1.96;23.50;1;0;3;0
+Premiership;Northern Ireland;12;2.85;1.96;1;0;3;0
-Kategoria Superiore;Albania;10;2.52;4.15;41.50;1;0;3;0
+Kategoria Superiore;Albania;10;2.52;4.15;1;0;3;0
-Bardzragujn khumb;Armenia;10;2.45;4.08;40.79;1;0;3;0
+Bardzragujn khumb;Armenia;10;2.45;4.08;1;0;3;0
-Betri-deildin;Faroe Islands;10;3.63;1.13;11.29;1;0;2;0
+Betri-deildin;Faroe Islands;10;3.63;1.13;1;0;2;0
-Premium Liiga;Estonia;10;3.29;2.48;24.81;1;0;2;0
+Premium Liiga;Estonia;10;3.29;2.48;1;0;2;0
-Premier League;Malta;12;2.87;2.97;35.65;1;0;3;0
+Premier League;Malta;12;2.87;2.97;1;0;3;0
-Crystalbet Erovnuli Liga;Georgia;10;2.53;3.70;37.00;1;0;3;0
+Crystalbet Erovnuli Liga;Georgia;10;2.53;3.70;1;0;3;0
-Prva liga;North Macedonia;12;2.41;2.71;32.57;1;0;3;0
+Prva liga;North Macedonia;12;2.41;2.71;1;0;3;0
-Cymru Premier;Wales;12;2.78;1.13;13.57;1;0;3;0
+Cymru Premier;Wales;12;2.78;1.13;1;0;3;0
-Gibraltar National League;Gibraltar;11;3.68;1.01;11.11;1;0;3;0
+Gibraltar National League;Gibraltar;11;3.68;1.01;1;0;3;0
-Pepsi Max deild;Iceland;12;2.83;1.75;20.98;1;0;3;0
+Pepsi Max deild;Iceland;12;2.83;1.75;1;0;3;0
-1. CFL;Montenegro;10;2.46;2.69;26.90;1;0;3;0
+1. CFL;Montenegro;10;2.46;2.69;1;0;3;0
-Primera Divisió;Andorra;8;2.80;1.38;11.05;1;0;2;0
+Primera Divisió;Andorra;8;2.80;1.38;1;0;2;0
-Camp. Sammarinese;San Marino;15;2.67;0.33;4.99;1;0;2;0
+Camp. Sammarinese;San Marino;15;2.67;0.33;1;0;2;0

main.py

@@ -6,188 +6,223 @@ from read_data import get_leagues_data
 # 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
+unv_clubs = unv_goals = unv_avgValue = unv_players = unv_teamsChL = unv_teamsEuL = unv_teamsCfL = unv_score = None
 
 # Variables for fuzzy membership functions
-clubs_low = clubs_mid = clubs_hig = None
+clubs_few = clubs_some = clubs_several = clubs_many = None
-goals_low = goals_mid = goals_hig = None
+goals_few = goals_moderate = goals_many = None
-avgValue_low = avgValue_mid = avgValue_hig = None
+avgValue_vpoor = avgValue_poor = avgValue_mpoor = avgValue_moderate = avgValue_mrich = avgValue_rich = avgValue_vrich = None
-totValue_low = totValue_mid = totValue_hig = None
+players_none = players_few = players_moderate = players_many = None
-players_low = players_mid = players_hig = None
+teamsChL_min = teamsChL_mid = teamsChL_max = None
-teamsChL_low = teamsChL_mid = teamsChL_hig = None
+teamsEuL_min = teamsEuL_mid = teamsEuL_max = None
-teamsEuL_low = teamsEuL_mid = teamsEuL_hig = None
+teamsCfL_min = teamsCfL_mid = teamsCfL_max = None
-teamsCfL_low = teamsCfL_mid = teamsCfL_hig = None
+score_tragic = score_bad = score_moderate = score_good = score_best = None
-score_low = score_mid = score_hig = None
 
 # Activations of fuzzy membership functions
-clubs_low_level = clubs_mid_level = clubs_hig_level = None
+clubs_few_level = clubs_some_level = clubs_several_level = clubs_many_level = None
-goals_low_level = goals_mid_level = goals_hig_level = None
+goals_few_level = goals_moderate_level = goals_many_level = None
-avgValue_low_level = avgValue_mid_level = avgValue_hig_level = None
+avgValue_vpoor_level = avgValue_poor_level = avgValue_mpoor_level = avgValue_moderate_level = avgValue_mrich_level = avgValue_rich_level = avgValue_vrich_level = None
-totValue_low_level = totValue_mid_level = totValue_hig_level = None
+players_none_level = players_few_level = players_moderate_level = players_many_level = None
-players_low_level = players_mid_level = players_hig_level =  None
+teamsChL_min_level = teamsChL_mid_level = teamsChL_max_level = None
-teamsChL_low_level = teamsChL_mid_level = teamsChL_hig_level = None
+teamsEuL_min_level = teamsEuL_mid_level = teamsEuL_max_level = None
-teamsEuL_low_level = teamsEuL_mid_level = teamsEuL_hig_level = None
+teamsCfL_min_level = teamsCfL_mid_level = teamsCfL_max_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 unv_clubs, unv_goals, unv_avgValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL, unv_score
-    global clubs_low, clubs_mid, clubs_hig
+    global clubs_few, clubs_some, clubs_several, clubs_many
-    global goals_low, goals_mid, goals_hig
+    global goals_few, goals_moderate, goals_many
-    global avgValue_low, avgValue_mid, avgValue_hig
+    global avgValue_vpoor, avgValue_poor, avgValue_mpoor, avgValue_moderate, avgValue_mrich, avgValue_rich, avgValue_vrich
-    global totValue_low, totValue_mid, totValue_hig
+    global players_none, players_few, players_moderate, players_many
-    global players_low, players_mid, players_hig
+    global teamsChL_min, teamsChL_mid, teamsChL_max
-    global teamsChL_low, teamsChL_mid, teamsChL_hig
+    global teamsEuL_min, teamsEuL_mid, teamsEuL_max
-    global teamsEuL_low, teamsEuL_mid, teamsEuL_hig
+    global teamsCfL_min, teamsCfL_mid, teamsCfL_max
-    global teamsCfL_low, teamsCfL_mid, teamsCfL_hig
+    global score_tragic, score_bad, score_moderate, score_good, score_best
-    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_goals = np.arange(0.99, 5.01, 0.01)
-    unv_avgValue = np.arange(0.01, 500.0, 0.01)
+    unv_avgValue = np.arange(0.01, 500.01, 0.01)
-    unv_totValue = np.arange(0.01, 10000.0, 0.01)
+    unv_players = np.arange(0, 101, 1)
-    unv_players = np.arange(0, 100, 1)
+    unv_teamsChL = np.arange(0, 6, 1)
-    unv_teamsChL = np.arange(0, 10, 1)
+    unv_teamsEuL = np.arange(0, 6, 1)
-    unv_teamsEuL = np.arange(0, 10, 1)
+    unv_teamsCfL = np.arange(0, 6, 1)
-    unv_teamsCfL = np.arange(0, 10, 1)
     # Result score universum
-    unv_score = np.arange(0, 100, 1)
+    unv_score = np.arange(0, 101, 1)
 
     # Generate fuzzy membership functions
     # trimf - triangular function
     # trapmf - trapezoidal function
-    clubs_low = fuzz.trapmf(unv_clubs, [2, 2, 10, 14])
+    clubs_few = fuzz.trapmf(unv_clubs, [2, 2, 5, 8])
-    clubs_mid = fuzz.trapmf(unv_clubs, [10, 12, 16, 18])
+    clubs_some = fuzz.trapmf(unv_clubs, [3, 6, 9, 12])
-    clubs_hig = fuzz.trapmf(unv_clubs, [14, 16, 30, 30])
+    clubs_several = fuzz.trapmf(unv_clubs, [8, 11, 15, 18])
+    clubs_many = fuzz.trapmf(unv_clubs, [15, 18, 30, 30])
 
-    goals_low = fuzz.trapmf(unv_goals, [2.0, 2.0, 2.5, 3.0])
+    goals_few = fuzz.trapmf(unv_goals, [1.0, 1.0, 2.0, 3.0])
-    goals_mid = fuzz.trapmf(unv_goals, [2.0, 2.5, 3.0, 3.5])
+    goals_moderate = fuzz.trimf(unv_goals, [2.5, 3.0, 3.5])
-    goals_hig = fuzz.trapmf(unv_goals, [3.0, 3.5, 4.0, 4.0])
+    goals_many = fuzz.trapmf(unv_goals, [3.0, 3.5, 5.0, 5.0])
     
-    avgValue_low = fuzz.trapmf(unv_avgValue, [0.01, 0.01, 100.0, 150.0])
+    avgValue_vpoor = fuzz.trapmf(unv_avgValue, [0.01, 0.01, 1.0, 2.0])
-    avgValue_mid = fuzz.trapmf(unv_avgValue, [100.0, 150.0, 350.0, 400.0])
+    avgValue_poor = fuzz.trimf(unv_avgValue, [1.0, 5.0, 15.0])
-    avgValue_hig = fuzz.trapmf(unv_avgValue, [350.0, 400.0, 500.0, 500.0])
+    avgValue_mpoor = fuzz.trimf(unv_avgValue, [7.5, 20.0, 50.0])
+    avgValue_moderate = fuzz.trimf(unv_avgValue, [20.0, 50.0, 100.0])
+    avgValue_mrich = fuzz.trimf(unv_avgValue, [50.0, 100.0, 175.0])
+    avgValue_rich = fuzz.trimf(unv_avgValue, [150.0, 200.0, 275.0])
+    avgValue_vrich = fuzz.trapmf(unv_avgValue, [200.0, 300.0, 500.0, 500.0])
 
-    totValue_low = fuzz.trapmf(unv_totValue, [0.01, 0.01, 1000.0, 2000.0])
+    players_none = fuzz.trimf(unv_players, [0, 0, 1])
-    totValue_mid = fuzz.trapmf(unv_totValue, [1000.0, 2000.0, 7000.0, 8000.0])
+    players_few = fuzz.trapmf(unv_players, [1, 5, 10, 15])
-    totValue_hig = fuzz.trapmf(unv_totValue, [7000.0, 8000.0, 10000.0, 10000.0])
+    players_moderate = fuzz.trapmf(unv_players, [10, 15, 20, 25])
+    players_many = fuzz.trapmf(unv_players, [20, 25, 100, 100])
 
-    players_low = fuzz.trapmf(unv_players, [0, 0, 5, 10])
+    teamsChL_min = fuzz.trapmf(unv_teamsChL, [0, 0, 1, 2])
-    players_mid = fuzz.trapmf(unv_players, [5, 10, 15, 20])
+    teamsChL_mid = fuzz.trapmf(unv_teamsChL, [1, 2, 3, 4])
-    players_hig = fuzz.trapmf(unv_players, [15, 20, 100, 100])
+    teamsChL_max = fuzz.trapmf(unv_teamsChL, [3, 4, 5, 5])
 
-    teamsChL_low = fuzz.trapmf(unv_teamsChL, [0, 0, 1, 2])
+    teamsEuL_min = fuzz.trimf(unv_teamsEuL, [0, 0, 1])
-    teamsChL_mid = fuzz.trimf(unv_teamsChL, [1, 2, 3])
+    teamsEuL_mid = fuzz.trimf(unv_teamsEuL, [0, 1, 2])
-    teamsChL_hig = fuzz.trapmf(unv_teamsChL, [2, 3, 10, 10])
+    teamsEuL_max = fuzz.trapmf(unv_teamsEuL, [1, 2, 5, 5])
 
-    teamsEuL_low = fuzz.trapmf(unv_teamsEuL, [0, 0, 1, 2])
+    teamsCfL_min = fuzz.trapmf(unv_teamsCfL, [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])
+    teamsCfL_max = fuzz.trapmf(unv_teamsCfL, [2, 3, 5, 5])
 
-    score_low = fuzz.trapmf(unv_score, [0, 0, 20, 40])
+    score_tragic = fuzz.trapmf(unv_score, [0, 0, 15, 25])
-    score_mid = fuzz.trapmf(unv_score, [20, 40, 60, 80])
+    score_bad = fuzz.trapmf(unv_score, [15, 25, 35, 45])
-    score_hig = fuzz.trapmf(unv_score, [60, 80, 100, 100])
+    score_moderate = fuzz.trapmf(unv_score, [35, 45, 55, 65])
+    score_good = fuzz.trapmf(unv_score, [55, 65, 75, 85])
+    score_best = fuzz.trapmf(unv_score, [75, 85, 100, 100])
 
 
 def activateFuzzyMembershipFunctions(values):
-    global unv_clubs, unv_goals, unv_avgValue, unv_totValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL
+    global unv_clubs, unv_goals, unv_avgValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL
-    global clubs_low, clubs_mid, clubs_hig
+    global clubs_few, clubs_some, clubs_several, clubs_many
-    global goals_low, goals_mid, goals_hig
+    global goals_few, goals_moderate, goals_many
-    global avgValue_low, avgValue_mid, avgValue_hig
+    global avgValue_vpoor, avgValue_poor, avgValue_mpoor, avgValue_moderate, avgValue_mrich, avgValue_rich, avgValue_vrich
-    global totValue_low, totValue_mid, totValue_hig
+    global players_none, players_few, players_moderate, players_many
-    global players_low, players_mid, players_hig
+    global teamsChL_min, teamsChL_mid, teamsChL_max
-    global teamsChL_low, teamsChL_mid, teamsChL_hig
+    global teamsEuL_min, teamsEuL_mid, teamsEuL_max
-    global teamsEuL_low, teamsEuL_mid, teamsEuL_hig
+    global teamsCfL_min, teamsCfL_mid, teamsCfL_max
-    global teamsCfL_low, teamsCfL_mid, teamsCfL_hig
+    global clubs_few_level, clubs_some_level, clubs_several_level, clubs_many_level
-    global clubs_low_level, clubs_mid_level, clubs_hig_level
+    global goals_few_level, goals_moderate_level, goals_many_level
-    global goals_low_level, goals_mid_level, goals_hig_level
+    global avgValue_vpoor_level, avgValue_poor_level, avgValue_mpoor_level, avgValue_moderate_level, avgValue_mrich_level, avgValue_rich_level, avgValue_vrich_level
-    global avgValue_low_level, avgValue_mid_level, avgValue_hig_level
+    global players_none_level, players_few_level, players_moderate_level, players_many_level
-    global totValue_low_level, totValue_mid_level, totValue_hig_level
+    global teamsChL_min_level, teamsChL_mid_level, teamsChL_max_level
-    global players_low_level, players_mid_level, players_hig_level
+    global teamsEuL_min_level, teamsEuL_mid_level, teamsEuL_max_level
-    global teamsChL_low_level, teamsChL_mid_level, teamsChL_hig_level
+    global teamsCfL_min_level, teamsCfL_mid_level, teamsCfL_max_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_few_level = fuzz.interp_membership(unv_clubs, clubs_few, values['clubs'])
-    clubs_mid_level = fuzz.interp_membership(unv_clubs, clubs_mid, values['clubs'])
+    clubs_some_level = fuzz.interp_membership(unv_clubs, clubs_some, values['clubs'])
-    clubs_hig_level = fuzz.interp_membership(unv_clubs, clubs_hig, values['clubs'])
+    clubs_several_level = fuzz.interp_membership(unv_clubs, clubs_several, values['clubs'])
+    clubs_many_level = fuzz.interp_membership(unv_clubs, clubs_many, values['clubs'])
 
-    goals_low_level = fuzz.interp_membership(unv_goals, goals_low, values['goalsPerMatch'])
+    goals_few_level = fuzz.interp_membership(unv_goals, goals_few, values['goalsPerMatch'])
-    goals_mid_level = fuzz.interp_membership(unv_goals, goals_mid, values['goalsPerMatch'])
+    goals_moderate_level = fuzz.interp_membership(unv_goals, goals_moderate, values['goalsPerMatch'])
-    goals_hig_level = fuzz.interp_membership(unv_goals, goals_hig, values['goalsPerMatch'])
+    goals_many_level = fuzz.interp_membership(unv_goals, goals_many, values['goalsPerMatch'])
     
-    avgValue_low_level = fuzz.interp_membership(unv_avgValue, avgValue_low, values['avgMarketValueInMln'])
+    avgValue_vpoor_level = fuzz.interp_membership(unv_avgValue, avgValue_vpoor, values['avgMarketValueInMln'])
-    avgValue_mid_level = fuzz.interp_membership(unv_avgValue, avgValue_mid, values['avgMarketValueInMln'])
+    avgValue_poor_level = fuzz.interp_membership(unv_avgValue, avgValue_poor, values['avgMarketValueInMln'])
-    avgValue_hig_level = fuzz.interp_membership(unv_avgValue, avgValue_hig, values['avgMarketValueInMln'])
+    avgValue_mpoor_level = fuzz.interp_membership(unv_avgValue, avgValue_mpoor, values['avgMarketValueInMln'])
+    avgValue_moderate_level = fuzz.interp_membership(unv_avgValue, avgValue_moderate, values['avgMarketValueInMln'])
+    avgValue_mrich_level = fuzz.interp_membership(unv_avgValue, avgValue_mrich, values['avgMarketValueInMln'])
+    avgValue_rich_level = fuzz.interp_membership(unv_avgValue, avgValue_rich, values['avgMarketValueInMln'])
+    avgValue_vrich_level = fuzz.interp_membership(unv_avgValue, avgValue_vrich, values['avgMarketValueInMln'])
 
-    totValue_low_level = fuzz.interp_membership(unv_totValue, totValue_low, values['totalMarketValueInMln'])
+    players_none_level = fuzz.interp_membership(unv_players, players_none, values['famousPlayers'])
-    totValue_mid_level = fuzz.interp_membership(unv_totValue, totValue_mid, values['totalMarketValueInMln'])
+    players_few_level = fuzz.interp_membership(unv_players, players_few, values['famousPlayers'])
-    totValue_hig_level = fuzz.interp_membership(unv_totValue, totValue_hig, values['totalMarketValueInMln'])
+    players_moderate_level = fuzz.interp_membership(unv_players, players_moderate, values['famousPlayers'])
+    players_many_level = fuzz.interp_membership(unv_players, players_many, values['famousPlayers'])
 
-    players_low_level = fuzz.interp_membership(unv_players, players_low, values['famousPlayers'])
+    teamsChL_min_level = fuzz.interp_membership(unv_teamsChL, teamsChL_min, values['teamsInChampionsLeague'])
-    players_mid_level = fuzz.interp_membership(unv_players, players_mid, values['famousPlayers'])
-    players_hig_level = fuzz.interp_membership(unv_players, players_hig, values['famousPlayers'])
-
-    teamsChL_low_level = fuzz.interp_membership(unv_teamsChL, teamsChL_low, values['teamsInChampionsLeague'])
     teamsChL_mid_level = fuzz.interp_membership(unv_teamsChL, teamsChL_mid, values['teamsInChampionsLeague'])
-    teamsChL_hig_level = fuzz.interp_membership(unv_teamsChL, teamsChL_hig, values['teamsInChampionsLeague'])
+    teamsChL_max_level = fuzz.interp_membership(unv_teamsChL, teamsChL_max, values['teamsInChampionsLeague'])
 
-    teamsEuL_low_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_low, values['teamsInEuropaLeague'])
+    teamsEuL_min_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_min, values['teamsInEuropaLeague'])
     teamsEuL_mid_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_mid, values['teamsInEuropaLeague'])
-    teamsEuL_hig_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_hig, values['teamsInEuropaLeague'])
+    teamsEuL_max_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_max, values['teamsInEuropaLeague'])
 
-    teamsCfL_low_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_low, values['teamsInConferenceLeague'])
+    teamsCfL_min_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_min, values['teamsInConferenceLeague'])
     teamsCfL_mid_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_mid, values['teamsInConferenceLeague'])
-    teamsCfL_hig_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_hig, values['teamsInConferenceLeague'])
+    teamsCfL_max_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_max, values['teamsInConferenceLeague'])
 
 
 def defineRules():
-    global clubs_low_level, clubs_mid_level, clubs_hig_level
+    global clubs_few_level, clubs_some_level, clubs_several_level, clubs_many_level
-    global goals_low_level, goals_mid_level, goals_hig_level
+    global goals_few_level, goals_moderate_level, goals_many_level
-    global avgValue_low_level, avgValue_mid_level, avgValue_hig_level
+    global avgValue_vpoor_level, avgValue_poor_level, avgValue_mpoor_level, avgValue_moderate_level, avgValue_mrich_level, avgValue_rich_level, avgValue_vrich_level
-    global totValue_low_level, totValue_mid_level, totValue_hig_level
+    global players_none_level, players_few_level, players_moderate_level, players_many_level
-    global players_low_level, players_mid_level, players_hig_level
+    global teamsChL_min_level, teamsChL_mid_level, teamsChL_max_level
-    global teamsChL_low_level, teamsChL_mid_level, teamsChL_hig_level
+    global teamsEuL_min_level, teamsEuL_mid_level, teamsEuL_max_level
-    global teamsEuL_low_level, teamsEuL_mid_level, teamsEuL_hig_level
+    global teamsCfL_min_level, teamsCfL_mid_level, teamsCfL_max_level
-    global teamsCfL_low_level, teamsCfL_mid_level, teamsCfL_hig_level
+    global score_tragic, score_bad, score_moderate, score_good, score_best, unv_score
-    global score_low, score_mid, score_hig, unv_score
 
     # OR
-    active_rule1 = np.fmax(clubs_low_level,
+    active_rule1 = np.fmax(clubs_some_level,
-                                   np.fmax(goals_low_level,
+                    np.fmax(clubs_few_level,
-                                           np.fmax(avgValue_low_level,
+                        np.fmax(goals_few_level,
-                                                   np.fmax(totValue_low_level,
+                            np.fmax(avgValue_mpoor_level,
-                                                           np.fmax(players_low_level,
+                                np.fmax(avgValue_poor_level,
-                                                                   np.fmax(teamsChL_low_level,
+                                    np.fmax(avgValue_vpoor_level,
-                                                                           np.fmax(teamsEuL_low_level, teamsCfL_low_level)))))))
+                                        np.fmax(players_none_level,
+                                            np.fmax(teamsChL_min_level,
+                                                np.fmax(teamsEuL_min_level, 
+                                                    np.fmax(teamsCfL_max_level, teamsCfL_mid_level))))))))))
 
-    active_rule2 = np.fmax(clubs_mid_level,
+    active_rule2 = np.fmax(clubs_several_level,
-                                   np.fmax(goals_mid_level,
+                    np.fmax(clubs_some_level,
-                                           np.fmax(avgValue_mid_level,
+                        np.fmax(clubs_few_level,
-                                                   np.fmax(totValue_mid_level,
+                            np.fmax(goals_moderate_level,
-                                                           np.fmax(players_mid_level,
+                                np.fmax(goals_few_level,
+                                    np.fmax(avgValue_moderate_level,
+                                        np.fmax(avgValue_mpoor_level,
+                                            np.fmax(avgValue_poor_level,
+                                                np.fmax(players_few_level,
+                                                    np.fmax(players_none_level,
+                                                        np.fmax(teamsChL_min_level,
+                                                            np.fmax(teamsEuL_min_level, 
+                                                                np.fmax(teamsCfL_max_level, teamsCfL_mid_level)))))))))))))
+
+    active_rule3 = np.fmax(clubs_several_level,
+                    np.fmax(clubs_some_level,
+                        np.fmax(goals_moderate_level,
+                            np.fmax(avgValue_mrich_level,
+                                np.fmax(avgValue_moderate_level,
+                                    np.fmax(avgValue_mpoor_level,
+                                        np.fmax(players_moderate_level,
+                                            np.fmax(players_few_level,
                                                 np.fmax(teamsChL_mid_level,
-                                                                           np.fmax(teamsEuL_mid_level, teamsCfL_mid_level)))))))
+                                                    np.fmax(teamsChL_min_level,
+                                                        np.fmax(teamsEuL_mid_level, 
+                                                            np.fmax(teamsEuL_min_level, 
+                                                                np.fmax(teamsCfL_max_level, teamsCfL_mid_level)))))))))))))
 
-    active_rule3 = np.fmax(clubs_hig_level,
+    active_rule4 = np.fmax(clubs_many_level,
-                                   np.fmax(goals_hig_level,
+                    np.fmax(clubs_several_level,
-                                           np.fmax(avgValue_hig_level,
+                        np.fmax(goals_many_level,
-                                                   np.fmax(totValue_hig_level,
+                            np.fmax(goals_moderate_level,
-                                                           np.fmax(players_hig_level,
+                                np.fmax(avgValue_vrich_level,
-                                                                   np.fmax(teamsChL_hig_level,
+                                    np.fmax(avgValue_rich_level,
-                                                                           np.fmax(teamsEuL_hig_level, teamsCfL_hig_level)))))))
+                                        np.fmax(avgValue_mrich_level,
+                                            np.fmax(players_many_level,
+                                                np.fmax(players_moderate_level,
+                                                    np.fmax(teamsChL_mid_level, 
+                                                        np.fmax(teamsEuL_mid_level, teamsCfL_mid_level)))))))))))
    
-    score_activation_low = np.fmin(active_rule1, score_low)
+    active_rule5 = np.fmax(clubs_many_level,
-    score_activation_mid = np.fmin(active_rule2, score_mid)
+                    np.fmax(goals_many_level,
-    score_activation_hig = np.fmin(active_rule3, score_hig)
+                        np.fmax(avgValue_vrich_level, 
+                            np.fmax(players_many_level,
+                                np.fmax(teamsChL_max_level, 
+                                    np.fmax(teamsEuL_max_level, teamsCfL_min_level)))))) 
 
-    aggregated_rules = np.fmax(score_activation_low, np.fmax(score_activation_mid, score_activation_hig))
+    score_activation_tragic = np.fmin(active_rule1, score_tragic)
+    score_activation_bad = np.fmin(active_rule2, score_bad)
+    score_activation_moderate = np.fmin(active_rule3, score_moderate)
+    score_activation_good = np.fmin(active_rule4, score_good)
+    score_activation_best = np.fmin(active_rule5, score_best)
+
+    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))))
 
     # active_rule1 = np.fmax(qual_level_lo, serv_level_lo)
     # tip_activation_lo = np.fmin(active_rule1, tip_lo)  # removed entirely to 0
@@ -221,7 +256,6 @@ if __name__ == "__main__":
                   'clubs': input('Podaj liczbę klubów grających w lidze:\n'),
                   'goalsPerMatch': input('Podaj średnią liczbę goli na mecz:\n'),
                   'avgMarketValueInMln': input('Podaj średnią wartośc klubu w lidze (w milionach):\n'),
-                  'totalMarketValueInMln': input('Podaj całkowitą wartość ligi (w milionach):\n'),
                   'teamsInChampionsLeague': input('Podaj liczbę klubów grających w Lidze Mistrzów:\n'),
                   'teamsInEuropaLeague': input('Podaj liczbę klubów grających w Lidze Europy:\n'),
                   'teamsInConferenceLeague': input('Podaj liczbę klubów grających w Lidze Konferencji:\n'),

res.csv

@@ -0,0 +1,54 @@
+Premier League score is, 1.0
+LaLiga score is, 1.0
+Serie A score is, 1.0
+Bundesliga score is, 1.0
+Ligue 1 score is, 0.6926977372958362
+Liga Bwin score is, 1.0
+Eredivisie score is, 1.0
+Bundesliga score is, 0.5057471264367834
+Premiership score is, 0.5057471264367834
+Premier Liga score is, 0.8734130372900716
+Premier Liga score is, 0.8734130372900716
+Super liga Srbije score is, 0.7140096618357546
+Jupiler Pro League score is, 1.0
+Super League score is, 1.0
+Protathlima Cyta score is, 0.5057471264367834
+1.HNL score is, 0.5403828197945835
+Fortuna Liga score is, 0.8734130372900716
+Super Lig score is, 1.0
+Super League 1 score is, 0.5057471264367834
+Superligaen score is, 0.5057471264367834
+Eliteserien score is, 0.8434674958254214
+Ligat ha'Al score is, 0.5057471264367834
+Allsvenskan score is, 0.7140096618357546
+efbet Liga score is, 0.5057471264367834
+Premyer Liqa score is, 0.97034078807242
+Liga 1 score is, 0.7140096618357546
+Ekstraklasa score is, 1.0
+NB I. score is, 0.9248363528865283
+Fortuna Liga score is, 0.5057471264367834
+Premier Liga score is, 0.5057471264367834
+Prva Liga score is, 0.6908378245957848
+Vysheyshaya Liga score is, 0.7140096618357546
+Divizia Nationala score is, 0.8463231347289373
+A Lyga score is, 0.6908378245957848
+Premijer Liga score is, 0.5057471264367834
+Veikkausliiga score is, 0.5057471264367834
+BGL Ligue score is, 1.0
+Virsliga score is, 0.5321408915795232
+BKT Superliga e Kosovës score is, 0.5057471264367834
+Premier Division score is, 0.6908378245957848
+Premiership score is, 0.5057471264367834
+Kategoria Superiore score is, 0.6908378245957848
+Bardzragujn khumb score is, 0.6908378245957848
+Betri-deildin score is, 1.0
+Premium Liiga score is, 1.0
+Premier League score is, 0.5057471264367834
+Crystalbet Erovnuli Liga score is, 0.6908378245957848
+Prva liga score is, 0.5057471264367834
+Cymru Premier score is, 0.5057471264367834
+Gibraltar National League score is, 1.0
+Pepsi Max deild score is, 0.5057471264367834
+1. CFL score is, 0.6908378245957848
+Primera Divisió score is, 0.5057471264367834
+Camp. Sammarinese score is, 0.5057471264367834

res2.csv

@@ -0,0 +1,54 @@
+Premier League score is, 0.6041054792357513
+LaLiga score is, 0.8
+Serie A score is, 0.5403828197945849
+Bundesliga score is, 0.531043470166621
+Ligue 1 score is, 0.6926977372958362
+Liga Bwin score is, 1.0
+Eredivisie score is, 1.0
+Bundesliga score is, 0.5057471264367834
+Premiership score is, 0.5057471264367834
+Premier Liga score is, 0.8734130372900716
+Premier Liga score is, 0.8734130372900716
+Super liga Srbije score is, 0.7140096618357546
+Jupiler Pro League score is, 1.0
+Super League score is, 1.0
+Protathlima Cyta score is, 0.5057471264367834
+1.HNL score is, 0.5403828197945835
+Fortuna Liga score is, 0.8734130372900716
+Super Lig score is, 1.0
+Super League 1 score is, 0.5057471264367834
+Superligaen score is, 0.5057471264367834
+Eliteserien score is, 0.8434674958254214
+Ligat ha'Al score is, 0.5057471264367834
+Allsvenskan score is, 0.7140096618357546
+efbet Liga score is, 0.5057471264367834
+Premyer Liqa score is, 0.97034078807242
+Liga 1 score is, 0.7140096618357546
+Ekstraklasa score is, 1.0
+NB I. score is, 0.9248363528865283
+Fortuna Liga score is, 0.5057471264367834
+Premier Liga score is, 0.5057471264367834
+Prva Liga score is, 0.6908378245957848
+Vysheyshaya Liga score is, 0.7140096618357546
+Divizia Nationala score is, 0.8463231347289373
+A Lyga score is, 0.6908378245957848
+Premijer Liga score is, 0.5057471264367834
+Veikkausliiga score is, 0.5057471264367834
+BGL Ligue score is, 1.0
+Virsliga score is, 0.5321408915795232
+BKT Superliga e Kosovës score is, 0.5057471264367834
+Premier Division score is, 0.6908378245957848
+Premiership score is, 0.5057471264367834
+Kategoria Superiore score is, 0.6908378245957848
+Bardzragujn khumb score is, 0.6908378245957848
+Betri-deildin score is, 1.0
+Premium Liiga score is, 1.0
+Premier League score is, 0.5057471264367834
+Crystalbet Erovnuli Liga score is, 0.6908378245957848
+Prva liga score is, 0.5057471264367834
+Cymru Premier score is, 0.5057471264367834
+Gibraltar National League score is, 1.0
+Pepsi Max deild score is, 0.5057471264367834
+1. CFL score is, 0.6908378245957848
+Primera Divisió score is, 0.5057471264367834
+Camp. Sammarinese score is, 0.5057471264367834