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

页码：967 / 980

页数：14

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