Belief functions combination without the assumption of independence of the information sources

被引：30
|
作者：
Cattaneo, Marco E. G. V. [1 ]
机构：
[1] Ludwig Maximilians Univ Munchen, Dept Stat, D-80539 Munich, Germany
来源：
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2011年 / 52卷 / 03期
关键词：
Dempster-Shafer theory; Belief functions; Combination rule; Dependence; Conflict; Cautious combination; APPROXIMATIONS; OPERATIONS; RULE;
D O I：
10.1016/j.ijar.2010.10.006
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper considers the problem of combining belief functions obtained from not necessarily independent sources of information. It introduces two combination rules for the situation in which no assumption is made about the dependence of the information sources. These two rules are based on cautious combinations of plausibility and commonality functions, respectively. The paper studies the properties of these rules and their connection with Dempster's rules of conditioning and combination and the minimum rule of possibility theory. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码：299 / 315
页数：17
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