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Please use this identifier to cite or link to this item: http://hdl.handle.net/1808/156
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Title: On Transforming Belief Function Models to Probability Models
Authors: Cobb, Barry R.
Shenoy, Prakash P.
Keywords: Dempster-Shafer belief functions
Plausibility transformation method
Pignistic transformation method
Transforming belief function models to probability models
Bayesian networks
valuation networks
valuation-based systems
Issue Date: Jul-2003
Publisher: University of Kansas School of Business
Extent: 1475219 bytes
Type: Working Paper
Citation: Cobb, 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.
Series/Report no.: School of Business Working Paper;No. 293
Abstract: In 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.
Description: In 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.
URI: http://hdl.handle.net/1808/156
Appears in Collections:School of Business Working Papers

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