On Transforming Belief Function Models to Probability Models
View/
Issue Date
2003-07Format
1475219 bytes
Is part of series
School of Business Working Paper;No. 293
Metadata
Show full item recordAbstract
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.
Collections
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.
Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
