人工智能作业——python实现洗衣机模糊推理系统实验
人工智能作业——python实现洗衣机模糊推理系统实验
-
- 实验环境
- 实验要求
- 代码
- 实验结果
书中实验要求用Matlab实现，但是Matlab包太大了，且还需要重新学习Matlab的使用。发现python也可以实现，故使用python完成。
实验环境
python3.6
开发环境Pycharm
需要安装的包：scikit-fuzzy，numpy
cmd命令：pip install scikit-fuzzy
pip install numpy
实验要求
污泥{SD(污泥少), MD(中等污泥), LD(污泥多)}
油脂{NG(无油脂), MG(中等油脂), LG(油脂多)}
洗涤时间{VS(很短), S(短), M(中等), L(长), VL(很长)}
输入是污泥和油脂，论域：[0, 100]
输出是洗衣机的洗涤时间，论域：[0, 120]
代码
import numpy as np
import skfuzzy as fuzz
import matplotlib.pyplot as plt
from skfuzzy import control as ctrl
# 污泥和油脂范围为[0，100]
# 洗涤时间范围为[0，120]
x_stain = np.arange(0, 110, 10)
x_oil = np.arange(0, 110, 10)
x_time = np.arange(0, 130, 10)
# 定义模糊控制变量
stain = ctrl.Antecedent(x_stain, 'stain')
oil = ctrl.Antecedent(x_oil, 'oil')
time = ctrl.Consequent(x_time, 'time')
# 生成模糊隶属函数
#函数中的三元变量，第一个代表折线的起点，第二是最大值，第三是终点
stain['SD'] = fuzz.trimf(x_stain, [0, 0, 50]) #定义污渍的三角隶属度函数横坐标
stain['MD'] = fuzz.trimf(x_stain, [0, 50, 100])
stain['LD'] = fuzz.trimf(x_stain, [50, 100, 100])
oil['NG'] = fuzz.trimf(x_oil, [0, 0, 50]) #定义油污的三角隶属度函数横坐标
oil['MG'] = fuzz.trimf(x_oil, [0, 50, 100])
oil['LG'] = fuzz.trimf(x_oil, [50, 100, 100])
time['VS'] = fuzz.trimf(x_time, [0, 0, 20]) #定义洗涤时间的三角隶属度函数横坐标
time['S'] = fuzz.trimf(x_time, [0, 20, 50])
time['M'] = fuzz.trimf(x_time, [20, 50, 80])
time['L'] = fuzz.trimf(x_time, [50, 80, 120])
time['VL'] = fuzz.trimf(x_time, [80, 120, 120])
#采用解模糊方法——质心解模糊方式
time.defuzzify_method='centroid'
#规则
rule1=ctrl.Rule(antecedent=((stain['SD'] & oil['NG'])),consequent=time['VS'],label='time=VS')
rule2=ctrl.Rule(antecedent=((stain['SD'] & oil['MG'])|(stain['MD'] & oil['MG'])|(stain['LD'] & oil['NG'])),consequent=time['M'],label='time=M')
rule3=ctrl.Rule(antecedent=((stain['SD'] & oil['LG'])|(stain['MD'] & oil['LG'])|(stain['LD'] & oil['MG'])),consequent=time['L'],label='time=L')
rule4=ctrl.Rule(antecedent=((stain['MD'] & oil['NG'])),consequent=time['S'],label='time=S')
rule5=ctrl.Rule(antecedent=((stain['LD'] & oil['LG'])),consequent=time['VL'],label='time=VL')
# 系统和运行环境初始化
rule=[rule1, rule2, rule3,rule4,rule5]
time_ctrl = ctrl.ControlSystem(rule)
wash_time = ctrl.ControlSystemSimulation(time_ctrl)
#规则中带一些奇怪的规则，处理后输出
for i in range(len(rule)):
print("rule",i,end=":")
for item in str(rule[i]):
if(item!='
'):
print(item,end="")
else:
break
print(' ')
#输入输出
print("
请输入污渍和油污的值")
p=input("污渍的值：")
q=input("油污的值：")
wash_time.input['stain'] = int(p)
wash_time.input['oil'] = int(q)
wash_time.compute()
print ("洗涤时间为：",wash_time.output['time'])
#画图
stain.view()
oil.view()
time.view()
#time.view()
plt.show()
实验结果
参考：
链接: https://blog.csdn.net/dcyywin8/article/details/103460871.
官方库的介绍： https://pythonhosted.org/scikit-fuzzy/auto_examples/index.html.