Trapezoidal intuitionistic fuzzy number with some arithmetic operations and its application on reliability evaluation

A. K. Shaw, T. Roy
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引用次数: 34

Abstract

In fuzzy mathematics fuzzy system reliability can be analysed by fuzzy sets. We can use various types of fuzzy sets for that analyzing the fuzzy system reliability but here we specially used intuitionistic fuzzy set theory. At first, TrIFNs and their arithmetic operations are introduced. Expressions for computing the fuzzy reliability of a series system, parallel system, series-parallel and parallel-series system following TrIFNs have been described. Here an imprecise failure to start of a truck is taken. To compute the imprecise failure of the above said system, failure of each component of the systems is represented by Trapezoidal Intuitionistic Fuzzy Number. This process can be utilise to measure the failure is various aspects like portfolio in stock market etc. The numerical expression also calculated and presented in this paper for the failure to start of a truck using TrIFN.
梯形直觉模糊数及其在可靠性评价中的应用
在模糊数学中,模糊系统的可靠性可以用模糊集来分析。我们可以使用各种类型的模糊集来分析模糊系统的可靠性,但这里我们特别使用直觉模糊集理论。首先介绍了trifn及其算术运算。给出了三分频下串联系统、并联系统、串并联系统和并联串联系统的模糊可靠度计算表达式。这里拍摄了一辆卡车无法精确启动的例子。为了计算上述系统的不精确失效,系统各组成部分的失效用梯形直觉模糊数表示。这个过程可以用来衡量失败的各个方面,如投资组合在股票市场等。本文还计算并给出了货车使用三振网无法启动的数值表达式。
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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