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Fuzzy relational equation with defuzzification- algorithm of the largest solution

机译:带解模糊的模糊关系方程-最大解法

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This paper provides an algorithm for solving a new fuzzy relational equation including defuzzification. An input fuzzy set is first transformed into an internal fuzzy set by a fuzzy relation, and then an element giving the largest membership value is selected form the support set as an output. Our purpose is to obtain the internal fuzzy relation form pairs of input fuzzy sets and output set-elements. These relational equations are classified into two types, called Type I and Type II in the text, depending on where internal fuzzy sets are defuzzified. Discussions in this paper are done on the largest solutions of these problems. Algorithms to obtain the largest solutions are shown as well as some propositions and numerical examples.
机译:本文提供了一种算法,用于求解包括反模糊化在内的新的模糊关系方程。首先通过模糊关系将输入模糊集转换为内部模糊集,然后从支持集中选择具有最大隶属度值的元素作为输出。我们的目的是获得输入模糊集和输出集元素的内部模糊关系形式对。这些关系方程根据内部模糊集的去模糊程度分为两类,在本文中分别称为I型和II型。本文讨论了这些问题的最大解决方案。给出了获得最大解的算法以及一些命题和数值示例。

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