The combination of evidence in the transferable belief model
IEEE Transactions on Pattern Analysis and Machine IntelligencePublished 1 May 1990
P. Smets
Citations1,080
SJR quartileQ1
SJR score3.91
SNIP5.99
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TL;DR
A description of the transferable belief model, which is used to quantify degrees of belief based on belief functions, is given and a set of axioms justifying Dempster's rule for the combination of belief functions induced by two distinct evidences is presented.
Abstract
Description of the transferable belief model to quantify degrees of belief, based on belief functions. The impact of open and closed-world assumption on conditioning. Presentation of a set of axioms justifying Dempster's rule for the combination of belief functions induced by two distinct evidences. © 1990 IEEE
Keywords
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