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首页> 外文期刊>International journal of systems science >Fuzzy system reliability evaluation using time-dependent intuitionistic fuzzy set
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Fuzzy system reliability evaluation using time-dependent intuitionistic fuzzy set

机译:基于时变直觉模糊集的模糊系统可靠性评估

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In general, fuzzy sets are used to analyse the system reliability. In this article, the concept of fuzzy set is extended by the idea of intuitionistic fuzzy set (IFS) and a new general procedure is proposed to construct the membership and non-membership functions of the fuzzy reliability using time-dependent IFS. Here, failure rate function of the system is represented by a triangular intuitionistic fuzzy number (IFN). Also, using proposed approach, membership and non-membership functions of fuzzy reliability of series and parallel systems are constructed, where the failure rate of each component is taken as a time-dependent triangular IFN. The major advantage of using IFS over fuzzy sets is that IFS separate the positive and negative evidences for membership of an element in the set. Numerical examples are given to illustrate the proposed approach.
机译:通常,使用模糊集分析系统可靠性。本文通过直觉模糊集(IFS)的思想扩展了模糊集的概念,并提出了一种新的通用过程,即使用时间依赖的IFS构造模糊可靠性的隶属度和非隶属度函数。在此,系统的故障率函数由三角直觉模糊数(IFN)表示。同样,使用提出的方法,构造了串联和并联系统的模糊可靠性的隶属度和非隶属度函数,其中每个组件的失效率被视为与时间有关的三角干扰。与模糊集相比,使用IFS的主要优势在于,IFS可以将正负证据分离为集合中元素的成员。数值例子说明了该方法。

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