Generalized Bayesian inference in a fuzzy context: From theory to a virtual reality application

被引：15
|
作者：
Coletti, Giulianella [2 ]
Gervasi, Osvaldo [2 ]
Tasso, Sergio [2 ]
Vantaggi, Barbara [1 ]
机构：
[1] Univ Roma La Sapienza, Dipartimento Sci Base & Applicate Ingn, I-00100 Rome, Italy
[2] Univ Perugia, Dipartimento Matemat & Informat, I-06100 Perugia, Italy
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2012年 / 56卷 / 04期
关键词：
Fuzzy sets; Likelihood; Generalized inference; Lower and upper probability; Female avatar; CONDITIONAL-PROBABILITY; MEMBERSHIP FUNCTIONS; UNCERTAINTY; COHERENCE; LOGIC; SETS; LIKELIHOOD; SEMANTICS;
D O I：
10.1016/j.csda.2011.06.020
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A generalized Bayesian inference framework in order to embed fuzzy sets and partial probabilistic information is provided. The general framework of reference is that of coherent conditional probabilities, which allows giving a rigorous interpretation of membership function as a conditional probability, regarded as a function of the conditioning event. The inferential problem needs to be studied in situations where the prior can be partial: moreover, membership and prior can be given on different classes of events. This inferential model is applied for the virtual representation of a female avatar. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：967 / 980
页数：14
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