ON FUZZY BAYESIAN-INFERENCE

被引：39
|
作者：
FRUHWIRTHSCHNATTER, S
机构：
[1] Department of Statistics, Vienna University of Economics, Vienna
来源：
FUZZY SETS AND SYSTEMS | 1993年 / 60卷 / 01期
关键词：
BAYES THEOREM; BAYESIAN INFERENCE FOR FUZZY DATA; FUZZY BAYES ESTIMATE; FUZZY DATA; FUZZY PRIOR; FUZZY SAMPLES; LIKELIHOOD FUNCTION; POSTERIOR DISTRIBUTION; PREDICTIVE DISTRIBUTION; PROPAGATION OF FUZZINESS;
D O I：
10.1016/0165-0114(93)90288-S
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The paper combines methods from Bayesian statistics with ideas from fuzzy set theory to generalize Bayesian methods both for samples of fuzzy data and for prior distributions with non-precise parameters. Applying the principle of propagation of fuzziness we introduce a fuzzy valued likelihood function, Bayes' theorem for both fuzzy data and fuzzy priors, a fuzzy Bayes' estimator, fuzzy predictive densities and distributions, and fuzzy H.P.D.-regions.
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页码：41 / 58
页数：18
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