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Resolution of composite fuzzy relation equations based on Archimedean triangular norms

机译:基于阿基米德三角模的复合模糊关系方程的分解

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摘要

Lately, the sup-t-norm composition of fuzzy relations has been used instead of the well-known max-min. Thus, there is a need for methods of studying and solving sup-t-norm fuzzy relation equations (t is any t-norm). In this paper, the solution existence problem is first studied and solvability criteria for composite fuzzy relation equations of any t-norm are given. Then, a methodology for solving fuzzy relation equations based on sup-t composition, where t is an Archimedean t-norm,. Is proposed. This resolution method is simpler and faster than those proposed for covering all the continuous t-norms. The Result is important, since, as is shown in the paper, the only continuous t-norm that is not Archimedean is the "minimum".
机译:最近,使用了模糊关系的sup-t-norm组成来代替众所周知的max-min。因此,需要研究和求解sup-t-范数模糊关系方程(t是任何t-范数)的方法。本文首先研究了解的存在性问题,并给出了任何t范数复合模糊关系方程的可解性准则。然后,一种基于sup-t组合求解模糊关系方程的方法,其中t是阿基米德t范数。被提议。该解决方法比为涵盖所有连续t范本提出的方法更简单,更快捷。结果很重要,因为如本文所示,唯一不是Archimedean的连续t范数是“最小值”。

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