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A new approach to fuzzy logic inference based on spatial relationship of fuzzy subsets

机译:基于模糊子集空间关系的模糊逻辑推理新方法

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An inference method which matches the intuition of human reasoning is proposed. For each fuzzy rule "If x is A/spl tilde/ then y is B/spl tilde/", the proposed inference method produces an output fuzzy subset B/spl tilde/' according to the spatial relationship of input fuzzy subset A/spl tilde/' and the antecedent A/spl tilde/. The membership function of the output fuzzy subset B/spl tilde/' is of the same shape as that of the input fuzzy subset A/spl tilde/'. Moreover, the spatial relationship of B/spl tilde/ and B/spl tilde/' is consistent with that of A and A/spl tilde/'. Experiments on a truck backer-parking controller are performed to compare our proposed inference method with E.H. Mamdani's (1981) method. These experiments show that our results compare favorably with those of Mamdani's method.
机译:提出了一种符合人类推理直觉的推理方法。对于每个模糊规则“如果x为A / spl tilde /,则y为B / spl tilde /”,则所提出的推理方法根据输入模糊子集A / spl的空间关系生成输出模糊子集B / spl tilde /'。波浪号/'和前一个波浪号/ spl波浪号/。输出模糊子集B / spl tilde /的隶属度函数与输入模糊子集A / spl tilde /的隶属度函数具有相同的形状。此外,B / spl tilde /和B / spl tilde /'的空间关系与A和A / spl tilde /'的空间关系是一致的。进行了卡车后备停车控制器的实验,以将我们提出的推理方法与E.H. Mamdani(1981)的方法。这些实验表明,我们的结果与Mamdani方法的结果相比具有优势。

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