When upper conditional probabilities are conditional possibility measures

被引：13

作者：

Coletti, Giulianella ^{[1
]}

Petturiti, Davide ^{[1
]}

Vantaggi, Barbara ^{[2
]}

机构：

[1] Univ Perugia, Dip Matemat & Informat, I-06100 Perugia, Italy

[2] Univ Roma La Sapienza, Dip SBAI, I-00185 Rome, Italy

来源：

FUZZY SETS AND SYSTEMS | 2016年 / 304卷

关键词：

Generalized Bayesian rule; Conditional possibility; Conditional probability; Inference; Upper envelope; Weak logical independence; COHERENCE; INDEPENDENCE;

D O I：

10.1016/j.fss.2016.02.015

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Conditioning for (non-additive) uncertainty measures is still an open problem. This is essentially due to the fact that these measures can be viewed either as lower or upper probabilities or axiomatically defined, independently of probability theory. Focusing on possibility measures on finite domains, the aim is to generalize to the conditional case the interpretation of possibility measures as upper envelopes of extensions of suitable probability measures. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：45 / 64

页数：20