System reliability for non-repairable multi-state series–parallel system using fuzzy Bayesian inference based on prior interval probabilities
DOI10.1080/03081079.2014.976215zbMath1342.60152OpenAlexW2088303886MaRDI QIDQ2943489
Wimonmas Bamrungsetthapong, Adisak Pongpullponsak
Publication date: 3 September 2015
Published in: International Journal of General Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081079.2014.976215
reliabilityBayesian inferencefuzzy multi-state systemexponential fuzzy numberfuzzy Markov processnon-repairable multi-state series-parallel system
Bayesian inference (62F15) Reliability, availability, maintenance, inspection in operations research (90B25) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Markov processes (60J99) Fuzzy probability (60A86)
Cites Work
- Fuzzy Bayesian system reliability assessment based on Pascal distribution
- Fuzzy universal generating functions for multi-state system reliability assessment
- Bayesian reliability analysis for fuzzy lifetime data
- Reliability assessment for fuzzy multi-state systems
- Two-unit repairable systems with common-cause shock failures and fuzzy parameters: parametric programming approach
- BAYESIAN INFERENCE OF FUZZY PROBABILITIES
- Reliability of linear multistate multiple sliding window systems
- Fuzzy sets
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