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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ruijun, Zhang Lulu, Zhang Nannan, Wang Xiaowei, Wang |
| Copyright Year | 2015 |
| 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. |
| Starting Page | 16 |
| Ending Page | 24 |
| Page Count | 9 |
| File Format | |
| ISSN | 09756809 |
| Journal | International Journal of System Assurance Engineering and Management |
| Volume Number | 7 |
| Issue Number | 1 |
| e-ISSN | 09764348 |
| Language | English |
| Publisher | Springer India |
| Publisher Date | 2015-01-31 |
| Publisher Place | New Delhi |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | The interval-valued triangular fuzzy Bayesian network Multi-state system Digital protection system Quality Control, Reliability, Safety and Risk Engineering Economics, Organization, Logistics, Marketing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Strategy and Management Safety, Risk, Reliability and Quality |
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