Fuzzy set and probabilistic techniques for health-risk analysis

作者: A. Bardossy , I. Bogardi , L. Duckstein

DOI: 10.1016/0096-3003(91)90083-Y

关键词:

摘要: A brief review of three non-fuzzy-set techniques available for performing risk analysis under uncertainty (probabilistic error propagation, Bayesian analysis, and the Shannon entropy) is given, using health-risk assessment to illustrate approach. The advantages difficulties in applying each these are pointed out. Next, a fourth technique developed some detail, namely, fuzzy-set risk. Here, given problem evaluated different sets hypotheses may yield fuzzy numbers, which can then be combined compared. elements methodology, considered as an extension interval numbers operations, including their ranking, regression model dose-response relationship, locating two-dimensional management, combining ranking estimates.

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