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    On Transforming Belief Function Models to Probability Models

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    WP293.pdf (1.406Mb)
    Issue Date
    2003-07
    Author
    Cobb, Barry R.
    Shenoy, Prakash P.
    Publisher
    University of Kansas School of Business
    Format
    1475219 bytes
    Type
    Working Paper
    Is part of series
    School of Business Working Paper;No. 293
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    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
    Collections
    • School of Business Scholarly Works [209]
    • Distinguished Professors Scholarly Works [918]
    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.

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    KU Libraries
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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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