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dc.contributor.authorCobb, Barry R.
dc.contributor.authorShenoy, Prakash P.
dc.date.accessioned2004-12-15T17:06:57Z
dc.date.available2004-12-15T17:06:57Z
dc.date.issued2003-07
dc.identifier.citationCobb, B. R. and P. P. Shenoy (2003), "On Transforming Belief Function Models to Probability Models," University of Kansas School of Business Working Paper No. 293, July 2003, Revised February 2004, Lawrence, KS.
dc.identifier.urihttp://hdl.handle.net/1808/156
dc.descriptionIn response to reviewer comments on this paper, we have written a shorter and more focused paper: "On the Plausibility Transformation Method for Translating Belief Function Models to Probability Models," University of Kansas School of Business Working Paper No. 308, June 2004, Lawrence, KS.
dc.description.abstractIn this paper, we explore methods for transforming a belief function model to an equivalent probability model. We propose and define the properties of a method called the plausibility transformation method. We compare the plausibility transformation method with the pignistic transformation method. These two methods yield qualitatively different probability models. We argue that the plausibility transformation method is the correct method that maintains belief function semantics.
dc.format.extent1475219 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherUniversity of Kansas School of Business
dc.relation.ispartofseriesSchool of Business Working Paper;No. 293
dc.subjectDempster-Shafer belief function theory
dc.subjectPlausibility transformation method
dc.subjectPignistic transformation method
dc.subjectTransforming belief function models to probability models
dc.subjectBayesian networks
dc.subjectValuation networks
dc.subjectValuation-based systems
dc.titleOn Transforming Belief Function Models to Probability Models
dc.typeWorking Paper
kusw.oastatusna
dc.identifier.orcidhttps://orcid.org/0000-0002-8425-896X
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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