86 lines
3.1 KiB
Python
86 lines
3.1 KiB
Python
import numpy as np
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import skfuzzy as fuzz
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from skfuzzy import control as ctrl
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from calculating import calculating
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import collections
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prevPlace = ctrl.Antecedent(np.arange(0, 17, 1), 'prevPlace')
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teamValue = ctrl.Antecedent(np.arange(0, 31, 1), 'teamValue')
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currentPlace = ctrl.Antecedent(np.arange(0, 17, 1), 'currentPlace')
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points = ctrl.Antecedent(np.arange(0, 2.3, 0.1), 'points')
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goals = ctrl.Antecedent(np.arange(-2.0, 2.0, 0.2), 'goals')
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place = ctrl.Consequent(np.arange(0, 100, 1), 'place')
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# prevPlace.automf(3)
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# teamValue.automf(5)
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place.automf(5)
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prevPlace['Low'] = fuzz.trimf(prevPlace.universe, [12,16,16])
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prevPlace['Medium'] = fuzz.trimf(prevPlace.universe, [5,8,13])
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prevPlace['High'] = fuzz.trimf(prevPlace.universe, [0,0,6])
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teamValue['Low'] = fuzz.trimf(teamValue.universe, [0,0,10])
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teamValue['Medium'] = fuzz.trimf(teamValue.universe, [8,12,16])
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teamValue['High'] = fuzz.trimf(teamValue.universe, [15,30,30])
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currentPlace['Low'] = fuzz.trimf(currentPlace.universe, [12,16,16])
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currentPlace['Medium'] = fuzz.trimf(currentPlace.universe, [5,8,13])
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currentPlace['High'] = fuzz.trimf(currentPlace.universe, [0,0,6])
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points['Low'] = fuzz.trimf(points.universe, [0,0, 1.2])
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points['Medium'] = fuzz.trimf(points.universe, [1.0,1.4, 1.8])
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points['High'] = fuzz.trimf(points.universe, [1.7,2.2,2.2])
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goals['Low'] = fuzz.trimf(goals.universe, [-2,-2,-0.8])
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goals['Medium'] = fuzz.trimf(goals.universe, [-1.0,0,1])
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goals['High'] = fuzz.trimf(goals.universe, [0.8,2.0,2.0])
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points.view()
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rule1 = ctrl.Rule(prevPlace['Low'] | currentPlace['Low'] | points['Low'] | goals['Low'], place['poor'])
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rule2 = ctrl.Rule(prevPlace['Medium'] | currentPlace['Medium'] | points['Medium'] | goals['Medium'], place['average'])
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rule3 = ctrl.Rule((currentPlace['High']) | (points['High'] | goals['High']), place['good'])
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# rule4 = ctrl.Rule(prevPlace['High'], place['good'])
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# rule4 = ctrl.Rule(prevPlace['Medium'] | currentPlace['High'] | goals['High'], place['decent'])
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# rule5 = ctrl.Rule(prevPlace['High'] | currentPlace['Medium'], place['good'])
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# rule6 = ctrl.Rule(goals['Low'] | prevPlace['High'] | points['Medium'], place['average'])
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# rule7 = ctrl.Rule(prevPlace['High'] | currentPlace['Medium'], place['decent'])
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# rule5 = ctrl.Rule(currentPlace['High'] & points['High'], place['good'])
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placeCtrl = ctrl.ControlSystem([rule1, rule2, rule3])
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calPlace = ctrl.ControlSystemSimulation(placeCtrl)
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calculate = calculating()
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calculate.cleanTeamParameters()
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dict = calculate.joinDict()
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teamsPlace = {}
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for key in dict:
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print(key + " = " + str(dict[key]))
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calPlace.input['currentPlace'] = dict[key][0]
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calPlace.input['goals'] = dict[key][1]
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calPlace.input['points'] = dict[key][2]
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calPlace.input['prevPlace'] = dict[key][3]
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# calPlace.input['prevPlace'] = dict[key][4]
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calPlace.compute()
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# print(calPlace.output['place'])
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teamsPlace[key] = calPlace.output['place']
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place.view(sim=calPlace)
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sorted_x = sorted(teamsPlace.items(), key=lambda kv: kv[1])
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sorted_dict = collections.OrderedDict(sorted_x)
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listReversed = list(reversed(sorted_dict))
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print()
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print("Results:")
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for item in reversed(sorted_dict):
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print(item + " = " + str(sorted_dict[item]))
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