Issue No. 05 - May (1990 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.55104
<p>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.</p>
open world; evidence; transferable belief model; belief functions; closed-world assumption; Dempster's rule; cognitive systems; probability
P. Smets, "The Combination of Evidence in the Transferable Belief Model," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 12, no. , pp. 447-458, 1990.