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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Published in:arXiv.org 2015-03
Main Authors: Chebbah, Mouna, Martin, Arnaud, Boutheina Ben Yaghlane
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Martin, Arnaud
Boutheina Ben Yaghlane
description 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.
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title Combining partially independent belief functions
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