Irrelevance in Incomplete Fuzzy Arithmetic

Laura Franzoi
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引用次数: 2

Abstract

Irrelevance, a notion which was first put forward by this author jointly with A. Sgarro, is a convenient tool to speed up computations in the arithmetic of interactive fuzzy numbers. In this paper we are trying to understand what happens if the fuzzy quantities one is considering are incomplete, or sub-normal, that is if one allows that a fuzzy quantity is "cut" at a height h which is less than 1. We motivate the reasons why we deem it important to extend fuzzy arithmetic to fuzzy quantities which may be incomplete, and we show that irrelevance keeps proving a convenient tool. Interactivity is described by suitable monotone joins, which generalize t-norms.
不完全模糊算法中的不相关性
不相关性是作者与a . Sgarro首先提出的一个概念,它是交互模糊数算法中加快计算速度的一种方便的工具。在本文中,我们试图理解如果我们考虑的模糊量是不完全的,或者是次正态的,也就是说,如果我们允许一个模糊量在小于1的高度h处被“切断”,会发生什么。我们激发了为什么我们认为将模糊算法扩展到可能不完整的模糊量是重要的原因,并且我们表明不相关性一直被证明是一个方便的工具。通过适当的单调连接来描述交互性,单调连接推广了t-范数。
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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