Abstract
This paper is a self-contained presentation of a method for combining several belief functions on a common frame that is different from a mere application of Dempster’s rule. All the necessary results and their proofs are presented in the paper. It begins with a review and explanation of concepts related to the notion of non-normalized mass-function, or gem-function, introduced by P. Smets under the name basic belief assignment [1,6]. Then the link with Dempster’s rule of combination is established. Several results in relation with the notion of Dempster specialization matrix are proved for the first time [2]. Based on these results, the method is then presented and a small application is considered.
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References
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© 2001 Springer-Verlag Berlin Heidelberg
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Monney, PA. (2001). Dempster Specialization Matrices and the Combination of Belief Functions. In: Benferhat, S., Besnard, P. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2001. Lecture Notes in Computer Science(), vol 2143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44652-4_28
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DOI: https://doi.org/10.1007/3-540-44652-4_28
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