Fault tree analysis based on TOPSIS and triangular fuzzy number

Hongping Wang, Xi Lu, Yuxian Du, Chenwei Zhang, Rehan Sadiq and Yong Deng ()
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Hongping Wang: Southwest University
Xi Lu: Southwest University
Yuxian Du: Southwest University
Chenwei Zhang: Southwest University
Rehan Sadiq: University of British Columbia Okanagan
Yong Deng: Southwest University

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 4, No 4, 2064-2070

Abstract: Abstract Fault tree analysis (FTA) is widely used in the failure probability evaluation of a system. The conventional failure probabilities of basic events are treated as crisp values. However, in many real applications, it is often difficult to evaluate failure probabilities of basic events from past occurrences. In order to address this issue, a new FTA method based on the technique for order preference by similarity to an ideal solution and the triangular fuzzy number is presented. Compared with the existing method, our proposed method is more efficient with less complexity.

Keywords: Fault tree analysis; TOPSIS; Triangular fuzzy number; Failure probability (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s13198-014-0323-5

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