Combining partially independent belief functions

The theory of belief functions manages uncertainty and also proposes a set of combination rules to aggregate opinions of several sources. Some combination rules mix evidential information where sources are independent; other rules are suited to combine evidential information held by dependent source...

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Bibliographic Details
Published in:arXiv.org 2015-03
Main Authors: Chebbah, Mouna, Martin, Arnaud, Boutheina Ben Yaghlane
Format: Article
Language:English
Subjects:
Information management
Online Access:Get full text
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Summary:The theory of belief functions manages uncertainty and also proposes a set of combination rules to aggregate opinions of several sources. Some combination rules mix evidential information where sources are independent; other rules are suited to combine evidential information held by dependent sources. In this paper we have two main contributions: First we suggest a method to quantify sources' degree of independence that may guide the choice of the more appropriate set of combination rules. Second, we propose a new combination rule that takes consideration of sources' degree of independence. The proposed method is illustrated on generated mass functions.
ISSN:2331-8422
DOI:10.48550/arxiv.1503.05055