解决断言错误和值错误的解决方案？

Question

这是我有问题的代码

断言者错误：反模糊化中的总面积为零

ValueError：无法计算Crisp输出，可能是因为系统过于稀疏。检查以确保这组输入值将通过当前规则集激活每个先行项中的至少一个连接项。 这两个错误的顶部是在我运行代码后显示的

代码下面是运行后的完整错误消息。 我可以知道问题出在哪里吗

import numpy as np
import skfuzzy as fuzz
from skfuzzy import control as ctrl

Temp = ctrl.Antecedent(np.arange(0,101,1),'temperature')
Temp['Low'] = fuzz.trapmf(Temp.universe, [0,0,20,30])
Temp['Medium'] = fuzz.trimf(Temp.universe, [25,50,70])
Temp['High'] = fuzz.trapmf(Temp.universe, [60,80,100,100])

Humidity = ctrl.Antecedent(np.arange(0,101,1),'Humidity')
Humidity['Poor']=fuzz.trapmf(Humidity.universe, [0,0,10,20])
Humidity['Fair']=fuzz.trimf(Humidity.universe, [15,30,50])
Humidity['Good'] = fuzz.trapmf(Humidity.universe, [45,60,100,100])

CO = ctrl.Antecedent(np.arange(0,101,1),'CO')
CO['Low'] = fuzz.trapmf(CO.universe, [0,0,25,35])
CO['Medium'] = fuzz.trimf(CO.universe, [30,50,70])
CO['High'] = fuzz.trapmf(CO.universe, [65,80,100,100])

CO2 = ctrl.Antecedent(np.arange(0,101,1),'CO2')
CO2['Low'] = fuzz.trapmf(CO2.universe, [0,0,10,20])
CO2['Medium'] = fuzz.trimf(CO2.universe, [15,30,50])
CO2['High'] = fuzz.trapmf(CO2.universe, [45,60,100,100])

Condition = ctrl.Consequent(np.arange(0,101,1),'Health Condition')
Condition['Very Good']=fuzz.trapmf(Condition.universe, [0,0,10,30])
Condition['Good']=fuzz.trimf(Condition.universe, [20,30,40])
Condition['Medium']=fuzz.trimf(Condition.universe, [35,50,65])
Condition['Bad']=fuzz.trimf(Condition.universe, [60,70,80])
Condition['Dangerous']=fuzz.trapmf(Condition.universe, [75,90,100,100])

Temp.view()
Humidity.view()
CO.view()
CO2.view()
Condition.view()

rule1 = ctrl.Rule(Temp['Medium'] & Humidity['Fair'] & CO['Low'] & CO2['Low'], Condition['Good'])
rule2 = ctrl.Rule(Temp['Medium'] & Humidity['Good'] & CO['Medium'] & CO2['Low'], Condition['Very Good'])
rule3 = ctrl.Rule(Temp['Low'] & Humidity['Poor'] & CO['High'] & CO2['High'], Condition['Dangerous'])
rule4 = ctrl.Rule(Temp['High'] & Humidity['Poor'] & CO['Medium'] & CO2['Low'], Condition['Bad'])
rule5 = ctrl.Rule(Temp['Low'] & Humidity['Fair'] & CO['Medium'] & CO2['Medium'], Condition['Medium'])

rule1.view()
rule2.view()
rule3.view()
rule4.view()
rule5.view()

Health_ctrl = ctrl.ControlSystem([rule1, rule2, rule3, rule4, rule5])
HealthResult = ctrl.ControlSystemSimulation(Health_ctrl)

HealthResult.input['temperature'] =45
HealthResult.input['Humidity'] =40
HealthResult.input['CO'] =50
HealthResult.input['CO2'] =75

HealthResult.compute()

print(HealthResult.output['Health Condition'])
Condition.view(sim=HealthResult)



---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/skfuzzy/control/controlsystem.py in defuzz(self)
    586                 return defuzz(ups_universe, output_mf,
--> 587                               self.var.defuzzify_method)
    588             except AssertionError:

3 frames
/usr/local/lib/python3.6/dist-packages/skfuzzy/defuzzify/defuzz.py in defuzz(x, mfx, mode)
    247         zero_truth_degree = mfx.sum() == 0  # Approximation of total area
--> 248         assert not zero_truth_degree, 'Total area is zero in defuzzification!'
    249 

AssertionError: Total area is zero in defuzzification!

During handling of the above exception, another exception occurred:
ValueError                                Traceback (most recent call last)
<ipython-input-4-f358e5f1a15d> in <module>()
     56 HealthResult.input['CarbonDioxide'] =75
     57 
---> 58 HealthResult.compute()
     59 
     60 print(HealthResult.output['Health Condition'])

/usr/local/lib/python3.6/dist-packages/skfuzzy/control/controlsystem.py in compute(self)
    371         for consequent in self.ctrl.consequents:
    372             consequent.output[self] = \
--> 373                 CrispValueCalculator(consequent, self).defuzz()
    374             self.output[consequent.label] = consequent.output[self]
    375 

/usr/local/lib/python3.6/dist-packages/skfuzzy/control/controlsystem.py in defuzz(self)
    587                               self.var.defuzzify_method)
    588             except AssertionError:
--> 589                 raise ValueError("Crisp output cannot be calculated, likely "
    590                                  "because the system is too sparse. Check to "
    591                                  "make sure this set of input values will "

ValueError: Crisp output cannot be calculated, likely because the system is too sparse. Check to make sure this set of input values will activate at least one connected Term in each Antecedent via the current set of Rules.

Answer 1

当它说“太稀疏”是指没有激活规则的区域，因此无法计算面积（hiper面积），因此无法计算重心（基本上除以零）。 就你而言：

规则1:C0和C02具有0成员资格

规则2：湿度和二氧化碳为0

规则3：温度、湿度和CO为0

规则4：温度和二氧化碳为0

因此，不产生任何面积