SkFuzzy 给出“ValueError：意外输入：质量”

Question

使用 SCI-KIT LEARN 中的 SKFUZZ 在 Python 中编写的代码集如下：

import skfuzzy as fuzz
import numpy as np
from skfuzzy import control as ctrl
import matplotlib.pyplot as plt

# New Antecedent/Consequent objects hold universe variables and membership
# functions
quality = ctrl.Antecedent(np.arange(0, 11, 1),'quality')
service = ctrl.Antecedent(np.arange(0, 11, 1), 'service')
tip = ctrl.Consequent(np.arange(0, 26, 1), 'tip')

# Auto-membership function population is possible with .automf(3, 5, or 7)
quality.automf(5)
service.automf(5)

tip['lower'] = fuzz.gaussmf(tip.universe,5,2)
tip['low'] = fuzz.gaussmf(tip.universe,10,2)
tip['average'] = fuzz.gaussmf(tip.universe,15,2)
tip['high'] = fuzz.gaussmf(tip.universe,20,1)
tip['higher'] = fuzz.gaussmf(tip.universe,23,0.5)


rule1 = ctrl.Rule(((quality['poor'] | quality['mediocre']) and (service['poor'] | service['mediocre'])), tip['lower'])
rule2 = ctrl.Rule(((quality['average'] | quality['mediocre']) and (service['poor'] | service['mediocre'])), tip['low'])
rule3 = ctrl.Rule(((quality['average'] | quality['decent']) and (service['mediocre'] | service['average'])), tip['average'])
rule4 = ctrl.Rule(((quality['decent'] | quality['good']) and (service['poor'] | service['mediocre'])), tip['average'])
rule5 = ctrl.Rule(((quality['decent'] | quality['good']) and (service['decent'] | service['mediocre'])), tip['high'])
rule6 = ctrl.Rule(((quality['decent'] | quality['good']) and (service['decent'] | service['good'])), tip['higher'])


tipping_ctrl = ctrl.ControlSystem([rule1, rule2, rule3, rule4, rule5, rule6])

tipping = ctrl.ControlSystemSimulation(tipping_ctrl)


tipping.input['service'] = 10
tipping.input['quality'] = 10
tipping.compute()

print(tipping.output['tip'])
tip.view(sim=tipping)

在执行代码集时出现以下错误。错误是一个价值错误，不确定我为什么会得到这个？是因为我输入规则的方式吗？：

Traceback (most recent call last):
  File "/Users/gaurangsmacbookpro/Desktop/Gaurang/PYTHON_CODE/FuzzyLogic/employee_salary.py", line 60, in <module>
    tipping.input['quality'] = 10
  File "/usr/local/lib/python3.8/site-packages/skfuzzy/control/controlsystem.py", line 168, in __setitem__
    raise ValueError("Unexpected input: " + key)
ValueError: Unexpected input: quality

有人可以告诉我我在这里做错了什么吗？有点出乎意料。

Answer 1

在执行前用 value() 检查输入值并按顺序排列代码。

Answer 2

尝试自动定义您的输入成员函数，而不是使用 automf()。

例如

quality['poor'] = fuzz.gaussmf(quality.universe, 1, 5)
quality['mediocre'] = fuzz.gaussmf(quality.universe, 5, 10)
etc.

Answer 3

很难弄清楚使用 skfuzzy 到底出了什么问题。我在不同的场合都面临过类似的挑战。

规则定义是模糊将先行词注册到内存中的地方。不是模糊化步骤。请按照以下步骤确保您的前身得到注册。

• 将出现的or 和and 分别替换为| 和&。

• 您可以通过以下代码检查您的antecedent 和consequence 变量是否已注册

对于输入变量

<code>
    for inp_var in problem.input.sim.ctrl.antecedents:
        print(inp_var)
</code>

对于输出变量

<code>
    for out_var in problem.input.sim.ctrl.consequents:
        print(out_var)
</code>
    

• 仅针对一条规则尝试此操作，并检查适用于您的用例的一个参数（可能是 | 和 and）。

Answer 4

您的代码绝对没问题，但是通过使用and 而不是&，您是在告诉它只接受一个先行词。在下面找到现在完美运行的编辑程序。复制它，或者你可以编辑你的原始代码，你应该没问题。

import skfuzzy as fuzz
import numpy as np
from skfuzzy import control as ctrl
import matplotlib.pyplot as plt

# New Antecedent/Consequent objects hold universe variables and membership
# functions
quality = ctrl.Antecedent(np.arange(0, 11, 1),'quality')
service = ctrl.Antecedent(np.arange(0, 11, 1), 'service')
tip = ctrl.Consequent(np.arange(0, 26, 1), 'tip')

# Auto-membership function population is possible with .automf(3, 5, or 7)
quality.automf(5)
service.automf(5)

tip['lower'] = fuzz.gaussmf(tip.universe,5,2)
tip['low'] = fuzz.gaussmf(tip.universe,10,2)
tip['average'] = fuzz.gaussmf(tip.universe,15,2)
tip['high'] = fuzz.gaussmf(tip.universe,20,1)
tip['higher'] = fuzz.gaussmf(tip.universe,23,0.5)


rule1 = ctrl.Rule(((quality['poor'] | quality['mediocre']) & (service['poor'] | 
service['mediocre'])), tip['lower'])
rule2 = ctrl.Rule(((quality['average'] | quality['mediocre']) & (service['poor']   
| service['mediocre'])), tip['low'])
rule3 = ctrl.Rule(((quality['average'] | quality['decent']) & 
(service['mediocre'] | service['average'])), tip['average'])
rule4 = ctrl.Rule(((quality['decent'] | quality['good']) & (service['poor'] | 
service['mediocre'])), tip['average'])
rule5 = ctrl.Rule(((quality['decent'] | quality['good']) & (service['decent'] | 
service['mediocre'])), tip['high'])
rule6 = ctrl.Rule(((quality['decent'] | quality['good']) & (service['decent'] | 
service['good'])), tip['higher'])


tipping_ctrl = ctrl.ControlSystem([rule1, rule2, rule3, rule4, rule5, rule6])

tipping = ctrl.ControlSystemSimulation(tipping_ctrl)


tipping.input['service'] = 10
tipping.input['quality'] = 10
tipping.compute()

print(tipping.output['tip'])
tip.view(sim=tipping)