Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
553414 | Decision Support Systems | 2015 | 10 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Mouna Chebbah, Arnaud Martin, Boutheina Ben Yaghlane,