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The combination of evidence in the transferable belief model

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1 Author(s)
P. Smets ; Inst. de Recherches Interdisciplinaires et de Dev. en Intelligence Artificielle, Univ. Libre de Bruxelles, Belgium

A description of the transferable belief model, which is used to quantify degrees of belief based on belief functions, is given. The impact of open- and closed-world assumption on conditioning is discussed. The nature of the frame of discernment on which a degree of belief will be established is discussed. A set of axioms justifying Dempster's rule for the combination of belief functions induced by two distinct evidences is presented

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:12 ,  Issue: 5 )