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The Combination of Evidence in the Transferable Belief Model
May 1990 (vol. 12 no. 5)
pp. 447-458

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.

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Index Terms:
open world; evidence; transferable belief model; belief functions; closed-world assumption; Dempster's rule; cognitive systems; probability
Citation:
P. Smets, "The Combination of Evidence in the Transferable Belief Model," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 5, pp. 447-458, May 1990, doi:10.1109/34.55104
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