Paper Info
Title
Reliability evaluation of a multi-state system based on interval-valued triangular fuzzy Bayesian networks.
Abstract
Considering fuzziness of the fuzzy subset boundary value for interval-valued variables are introduced into fuzzy Bayesian networks. A reliability analysis method based on an interval-valued triangular fuzzy Bayesian network is proposed in this paper. It expanded the application from a two-state system to a multi-state system, and assessed the reliability evaluation of the multi-state system. First, the interval-valued variables were introduced into a triangular fuzzy subset, and an interval-valued triangular fuzzy subset was built. Second, the algorithm of the defuzzified leaf node failure probability, interval-valued fuzzy posterior probability and interval-valued fuzzy importance were given based on the interval-valued triangular fuzzy subset and features of a Bayesian network. It was proved that the proposed method was feasible by comparing with T-S fuzzy importance analysis methods and fuzzy Bayesian network analysis methods. Finally, a fuzzy reliability assessment of a digital protection system based on an IEC61850 standard seamless real-time communication system was conducted by the proposed method.
Year
DOI
Venue
2016
10.1007/s13198-015-0335-9
Int. J. Systems Assurance Engineering and Management
Keywords
Field
DocType
The interval-valued triangular fuzzy, Bayesian network, Multi-state system, Digital protection system
Data mining,Mathematical optimization,Neuro-fuzzy,Defuzzification,Fuzzy classification,Fuzzy set operations,Fuzzy logic,Fuzzy mathematics,Adaptive neuro fuzzy inference system,Fuzzy number,Mathematics
Journal
Volume
Issue
ISSN
7
1
0976-4348
Citations 
PageRank 
References 
3
0.39
8
Authors
4
Name
Order
Citations
PageRank
Ruijun Zhang130.39
Zhang Lulu230.39
Nannan Wang330.39
Xiao-Wei Wang459659.78