Fuzzy Reliability of an Imprecise Failure to Start of an Automobile Using Pseudo-Parabolic Fuzzy Numbers

F. Abbasi ()
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F. Abbasi: Department of Mathematics, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran

New Mathematics and Natural Computation (NMNC), 2018, vol. 14, issue 03, 323-341

Abstract: In this paper, we propose the notion of pseudo-parabolic fuzzy numbers and the component failure probabilities are considered as a new type of fuzzy number as pseudo-parabolic to incorporate the uncertainties in the parameter, due to a more realistic estimate of them. Then, we analyze the reliability of fuzzy system (particularly, series and parallel system) with independent and non-identically distributed components, and using the new operations of TA [F. Abbasi et al., Journal of Intelligent and Fuzzy Systems 29 (2015) 851–861], due to the smaller results support, easier calculations and special properties than fuzzy arithmetic operations based on the extension principle (in the domain of the membership function) and the interval arithmetic (in the domain of the α-cuts). We provide a more realistic fuzzy reliability analysis. Finally, an imprecise failure to start of an automobile is considered in fuzzy environment. The reliability of components of the proposed model is considered as pseudo-parabolic fuzzy numbers.

Keywords: TA operations; pseudo-parabolic fuzzy number; fuzzy system reliability; fuzzy fault tree; statistical data (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S1793005718500205

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