Combining Belief Functions Issued from Dependent Sources
Marco E. G. V. Cattaneo
May 2003
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.
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