Reliability analysis of different systems using triangular multi-fuzzy sets estimated by statistical data

E. El-Ghamry, M. El-Damsece and M. Shokry

International Journal of Mathematics in Operational Research, 2020, vol. 16, issue 4, 499-514

Abstract: In this paper, the multi-fuzzy sets and its arithmetic operations are first introduced briefly then we describe an idea of using multi-fuzzy sets approach to reliability analysis of different types of unrepairable fuzzy systems as series, parallel, series-parallel and parallel-series systems consist of independent components. The knowledge about causes and effects of failures is usually described with large uncertainty content so the reliability of each component can be represented by triangular multi-fuzzy set. Each multi-fuzzy set is estimated by using the concept of confidence interval that calculated based on statistical data taken from random samples of each component. A numerical example is given to demonstrate the applicability of the multi-fuzzy sets in different structural engineering systems and the results were drawn by using MAPLE software program.

Keywords: reliability; multi-fuzzy set; confidence interval; statistical data. (search for similar items in EconPapers)
Date: 2020
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