Bayes statistical decisions with random fuzzy data-an application in reliability

Hryniewicz Olgierd

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Bayes statistical decisions with random fuzzy data-an application in reliability

机译：具有随机模糊数据的贝叶斯统计决策-可靠性中的应用

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Bayesian methods are widely accepted as the methodology for the analysis of reliability data. In practical applications such data are often expressed in an imprecise way. In such a case fuzzy sets are frequently used for modeling imprecision. In the paper we present some recent results on the application of the fuzzy Bayes methodology for the analysis of imprecise reliability data. We also present some useful approximations obtained using the concept of shadowed sets. (C) 2015 Elsevier Ltd. All rights reserved.

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来源
《Reliability Engineering & System Safety》 |2016年第7期|20-33|共14页
作者
Hryniewicz Olgierd;
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作者单位

Syst Res Inst, Newelska 6, PL-01447 Warsaw, Poland;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Bayesian inference; Reliability; Imprecise data; Fuzzy sets; Shadowed sets;

机译：贝叶斯推理可靠性数据不精确模糊集影子集;

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4. MAINTENANCE DECISION FOR EXISTING STRUCTURES WITH DYNAMIC FUZZY RANDOM RELIABILITY COEFFICIENT [C] . LIU YUBIN, WANG GUANGYUAN, QIAO ZHONG Second China-Japan symposium on optimization of structural and mechanical systems . 1995

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Bayes statistical decisions with random fuzzy data-an application in reliability

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