One Simple Procedure to Finding the Best Approximate Solution for a Particular Fuzzy Relational Equation with Max-min Composition

Yak-Kuen Wu, Chia-Cheng Liu, Yung-Yih Lur, S. Guu
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引用次数: 5

Abstract

Fuzzy relational equations have played an important role in fuzzy modeling and applied to many practical problems. Most theories of fuzzy relational equations based on a premise that the solution set is not empty. However, this is often not the case in practical applications. Recently, Chakraborty et al. presented an efficient algorithm to solve the best approximate solution for the fuzzy relational equations, XoA=I, with max-min composition, where I denotes the identity matrix. In this paper, new theoretical results are proposed for solving this particular problem. Hence, one simple procedure can be presented to find the best approximate solution quickly. A numerical example is provided to illustrate the procedure.
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一类具有最大-最小组合的特殊模糊关系方程的最佳近似解的一个简单方法
模糊关系方程在模糊建模中起着重要的作用,并应用于许多实际问题。大多数模糊关系方程理论都建立在一个前提上,即解集不为空。然而,在实际应用中通常不是这样。最近,Chakraborty等人提出了一种求解模糊关系方程XoA=I的最优近似解的高效算法,其中I表示单位矩阵。本文提出了新的理论结果来解决这一特殊问题。因此,可以提出一个简单的方法来快速找到最佳近似解。最后给出了一个数值算例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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