请使用python代码写一段风电机组模糊综合评价代码

好的，以下是一个简单的风电机组模糊综合评价代码的例子，其中使用了模糊逻辑（Fuzzy Logic）进行分析和计算：

import numpy as np
import skfuzzy as fuzz

# 定义输入变量
wind_speed = np.arange(0, 51, 1)
power_output = np.arange(0, 101, 1)

# 定义输出变量
performance = np.arange(0, 11, 1)

# 定义模糊集合
wind_speed_low = fuzz.trimf(wind_speed, [0, 0, 25])
wind_speed_medium = fuzz.trimf(wind_speed, [0, 25, 50])
wind_speed_high = fuzz.trimf(wind_speed, [25, 50, 50])

power_output_low = fuzz.trimf(power_output, [0, 0, 50])
power_output_medium = fuzz.trimf(power_output, [0, 50, 100])
power_output_high = fuzz.trimf(power_output, [50, 100, 100])

performance_poor = fuzz.trimf(performance, [0, 0, 5])
performance_fair = fuzz.trimf(performance, [0, 5, 10])
performance_good = fuzz.trimf(performance, [5, 10, 10])

# 定义规则
rule1 = fuzz.Rule(wind_speed_low & power_output_low, performance_poor)
rule2 = fuzz.Rule(wind_speed_low & power_output_medium, performance_fair)
rule3 = fuzz.Rule(wind_speed_low & power_output_high, performance_good)
rule4 = fuzz.Rule(wind_speed_medium & power_output_low, performance_fair)
rule5 = fuzz.Rule(wind_speed_medium & power_output_medium, performance_good)
rule6 = fuzz.Rule(wind_speed_medium & power_output_high, performance_good)
rule7 = fuzz.Rule(wind_speed_high & power_output_low, performance_fair)
rule8 = fuzz.Rule(wind_speed_high & power_output_medium, performance_good)
rule9 = fuzz.Rule(wind_speed_high & power_output_high, performance_good)

# 创建控制系统
performance_ctrl = fuzz.ControlSystem([rule1, rule2, rule3, rule4, rule5, rule6, rule7, rule8, rule9])

# 创建控制系统模拟器
performance_sim = fuzz.ControlSystemSimulation(performance_ctrl)

# 输入模糊变量
performance_sim.input['wind_speed'] = 35
performance_sim.input['power_output'] = 75

# 运行模拟
performance_sim.compute()

# 输出结果
print(performance_sim.output['performance'])

在这个例子中，我们使用了两个输入变量：风速（wind_speed）和功率输出（power_output），以及一个输出变量：性能评价（performance）。我们使用了三个模糊集合来描述风速和功率输出的变化范围，以及三个模糊集合来描述性能评价的等级。我们还定义了一些规则来将输入变量映射到输出变量上。最后，我们使用了控制系统模拟器来计算输出变量的值。

请注意，这只是一个简单的例子，实际应用中需要根据具体情况进行调整和优化。