New Bayesian reliability estimation method making use of fuzzy prior information

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Hefei University of Technology, China [1 ]
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Nongye Jixie Xuebao | 2007年 / 4卷 / 151-153期
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Prior information such as expert judgment is needed in Bayesian reliability estimation. General Bayesian method cannot deal with expert judgment when it is fuzzy. Under this circumstance, a new method was proposed. First a belief distribution was deduced from test data, and it was regarded as prior distribution. Then the expert judgment was taken as fuzzy observation, and reliability parameters were obtained via Bayesian theorem.
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