The choice of generalized Dempster-Shafer rules for aggregating belief functions

被引：26

作者：

Bronevich, Andrey ^{[1
]}

Rozenberg, Igor ^{[2
]}

机构：

[1] Natl Res Univ, Higher Sch Econ, Moscow 109028, Russia

[2] JSC Res, Dev & Planning Inst Railway Informat Technol Auto, Moscow 107996, Russia

来源：

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2015年 / 56卷

关键词：

Generalized Dempster-Shafer rules; Belief functions; Imprecision indices; Uncertainty in information; MINIMUM RULE; COMBINATION; CAPACITIES; CONFLICT;

D O I：

10.1016/j.ijar.2014.10.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper we investigate the criteria of choosing generalized Dempster-Shafer rules for aggregating sources whose information is represented by belief functions. The approach is based on measuring various types of uncertainty in information and we use for this purpose in particular linear imprecision indices. Some results concerning properties of such rules are also presented. (C) 2014 Elsevier Inc. All rights reserved.

引用

页码：122 / 136

页数：15

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