3rd International Symposium on
Imprecise Probabilities and Their Applications

ISIPTA '03

University of Lugano
Lugano, Switzerland
14-17 July 2003

ELECTRONIC PROCEEDINGS

Marco Cattaneo

Combining Belief Functions Issued from Dependent Sources

Abstract

Dempster's rule for combining two belief functions assumes the independence of the sources of information. If this assumption is questionable, I suggest to use the least specific combination minimizing the conflict among the ones allowed by a simple generalization of Dempster's rule. This increases the monotonicity of the reasoning and helps us to manage situations of dependence. Some properties of this combination rule and its usefulness in a generalization of Bayes' theorem are then considered.

Keywords. belief functions, propositional logic, combination, Dempster's rule, independence, conflict, monotonicity, nonspecificity, idempotency, associativity, Bayes' theorem

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Authors addresses:

Seminar für Statistik, LEO C13
ETH Zentrum
CH-8092 Zürich

E-mail addresses:

Marco Cattaneo cattaneo@stat.math.ethz.ch


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