模糊集的泛化及其在模糊系统可靠性分析中的应用

A. Kumara, S.P. Yadava, S. Kumar
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引用次数: 1

摘要

本文利用区间值模糊集的思想对模糊集的概念进行了扩展。还介绍了区间三角模糊集的定义以及两个区间三角模糊集之间的算术运算。此外,还提出了一种利用区间值三角模糊集分析串并联系统模糊系统可靠度的新方法,其中系统各组成部分的可靠度用定义在论域中的区间值三角模糊集来表示[0,1]。该方法已应用于某计算机系统的模糊可靠性分析。与Chen(2003)的方法相比,所提出的方法可以更加灵活和智能地对模糊系统可靠性进行建模和分析。所提出的方法(区间值模糊集的概念)相对于现有方法的主要优点是,所提出的方法分离了集合中元素隶属性的正证据和负证据。此外,在该方法中,集合中元素的隶属度和非隶属度的值是区间而不是单个实数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generalization of Fuzzy Sets and its Use for Analyzing the Fuzzy System Reliability
In this paper, the concept of vague sets is extended by idea of interval valued vague sets. Also we have introduced: definition of interval valued triangular vague set and arithmetic operations between two interval valued triangular vague sets. Further, a new method has been developed for analyzing the fuzzy system reliability of a series and parallel system using interval valued triangular vague sets, where the reliability of each component of a system is represented by an interval valued triangular vague set defined in the universe of discourse [0,1].The developed method has been used to analyze the fuzzy reliability of a computer system. The proposed method can model and analyze the fuzzy system reliability in a more flexible and intelligent manner in comparison to the method given by Chen (2003). The major advantage of the proposed approach (the concept of interval valued vague sets) over the existing approaches is that the proposed approach separates the positive and negative evidence for the membership of an element in a set. Also in the proposed approach the values of the membership and non-membership of an element in a set are intervals instead of a single real number.
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