Reliability Modeling and Analysis of Complex Multi-State Systems based on Weighted Triangular Fuzzy Numbers T-S Fault Tree

doi:10.23940/ijpe.19.06.p17.16621671

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (6): 1662-1671.doi: 10.23940/ijpe.19.06.p17.16621671

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Reliability Modeling and Analysis of Complex Multi-State Systems based on Weighted Triangular Fuzzy Numbers T-S Fault Tree

Honghua Sun, Hongxia Chen^*, and Chunwei Li

School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China

Submitted on ;
Contact: * E-mail address: 1990864705@qq.com
Supported by:
This work was partially supported by the National Natural Science Foundation of China (No. 71761030).

Abstract

Abstract: For the problem of T-S fault tree modeling, the probability of failure of the bottom event is not easy to obtain. Firstly, the index is graded, the expert's scoring matrix is obtained according to the scoring standard, the index weight is obtained by applying the entropy method, and the expert weight is obtained by integrating the experts. Secondly, the fuzzy possibility of different fault states of the bottom event is given by experts according to experience and data, and the fuzzy probability of the bottom event is obtained according to the triangular fuzzy number operation rule. The rule execution possibility fuzzy probability of T-S containing triangular fuzzy numbers is derived. Finally, the analysis is carried out in combination with the screw side screw failure of the explosive.

Key words: complex polymorphic system, T-S fault tree, multi-agent expert, triangular fuzzy number

Honghua Sun, Hongxia Chen, and Chunwei Li. Reliability Modeling and Analysis of Complex Multi-State Systems based on Weighted Triangular Fuzzy Numbers T-S Fault Tree [J]. Int J Performability Eng, 2019, 15(6): 1662-1671.

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Reliability Modeling and Analysis of Complex Multi-State Systems based on Weighted Triangular Fuzzy Numbers T-S Fault Tree

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