Bayesian inference of fuzzy probabilities

被引：21
|
作者：
Pan, Y [1 ]
Yuan, B [1 ]
机构：
[1] SUNY BINGHAMTON,THOMAS J WATSON SCH ENGN & APPL SCI,DEPT SYST SCI & IND ENGN,BINGHAMTON,NY 13902
来源：
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS | 1997年 / 26卷 / 1-2期
关键词：
Bayesian inference; intervals; fuzzy numbers; fuzzy probabilities;
D O I：
10.1080/03081079708945170
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we propose a new method to generalize Bayesian methods both for fuzzy likelihood and fuzzy prior probabilities. Based on interval Bayesian inference developed by Pan and Klir [1996], the proposed method overcomes the difficulty in developing a normalized fuzzy Bayesian inference recognized in the literature [Fruhwirth-Schnatter, 1993].
引用
收藏
页码：73 / 90
页数：18
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