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dc.contributor.authorCobb, Barry R.-
dc.contributor.authorShenoy, Prakash P.-
dc.date.accessioned2006-04-13T18:44:37Z-
dc.date.available2006-04-13T18:44:37Z-
dc.date.issued2006-04-
dc.identifier.citationCobb, B. R., and P. P. Shenoy, "On the plausibility transformation method for translating belief function models to probability models," International Journal of Approximate Reasoning, Vol. 41, No. 3, April 2006, pp. 314--330.en
dc.identifier.issn0888-613X-
dc.identifier.urihttp://hdl.handle.net/1808/903-
dc.description.abstractIn this paper, we propose the plausibility transformation method for translating Dempster-Shafer (D-S) belief function models to probability models, and describe some of its properties. There are many other transformation methods used in the literature for translating belief function models to probability models. We argue that the plausibility transformation method produces probability models that are consistent with D-S semantics of belief function models, and that, in some examples, the pignistic transformation method produces results that appear to be inconsistent with Dempster’s rule of combination.en
dc.format.extent804051 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherElsevieren
dc.subjectDempster-Shafer belief functionsen
dc.subjectplausibility transformationen
dc.subjectDempster’s rule ofen
dc.subjectpignistic transformation methoden
dc.titleOn the plausibility transformation method for translating belief function models to probability modelsen
dc.typeArticleen
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