人工智能技术模糊推理算法python实现

模糊推理是一种处理不确定性和模糊信息的人工智能技术，它基于模糊集合理论，通过模糊规则和隶属函数来进行推理。在Python中，我们可以利用模糊逻辑库如FuzzyWuzzy、skfuzzy或PyFuzzy来实现模糊推理算法。以下是一个简单的例子：

from fuzzywuzzy import fuzz
import numpy as np

# 定义输入和输出的模糊集
def input_fuzzifier(value):
    return {'low': 0.1, 'medium': 0.5, 'high': 0.9}[value]

def output_fuzzifier(value):
    return {'small': 0.2, 'medium': 0.6, 'large': 0.8}[value]

# 模糊规则定义
rules = [
    ('input is low', 'output is small'),
    ('input is medium', 'output is medium'),
    ('input is high', 'output is large')
]

# 模糊推理
def inference(input_value):
    if input_value == 'low':
        return output_fuzzifier('small')
    elif input_value == 'medium':
        return output_fuzzifier('medium')
    else: # high
        return output_fuzzifier('large')

# 测试
input_test = 'medium'
input_membership = input_fuzzifier(input_test)
output_membership = inference(input_test)

print(f"Input membership: {input_membership}")
print(f"Output membership: {output_membership}")