Home
KU Information Services
About KU Scholarworks
 
Browse
Communities
& Collections
Issue Date
Author
Title
Subject
 
Sign on to:
Receive email
updates
My KU Scholarworks
authorized users
Edit Profile
 

Advanced Search

KU ScholarWorks >
School of Business >
School of Business Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1808/155
View usage statistics

Full metadata record

DC FieldValueLanguage
dc.contributor.authorCobb, Barry R.-
dc.contributor.authorShenoy, Prakash P.-
dc.date.accessioned2004-12-15T16:44:13Z-
dc.date.available2004-12-15T16:44:13Z-
dc.date.issued2003-07-
dc.identifier.citationCobb, B. R. and P. P. Shenoy (2003), "A Comparison of Methods for Transforming Belief Function Models to Probability Models," in T. D. Nielsen and N. L. Zhang (eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Artificial Intelligence No. 2711, pp. 255--266, Springer-Verlag, Berlin.en
dc.identifier.isbn3-540-40494-5-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1808/155-
dc.descriptionThis 12-pp paper is extracted from a longer unpublished working paper: "On Transforming Belief Function Models to Probability Models," School of Business Working Paper No. 293, July 2003, University of Kansas, Lawrence, KS.en
dc.description.abstractRecently, we proposed a new method called the plausibility transformation method to convert a belief function model to an equivalent probability model. In this paper, we compare the plausibility transformation method with the pignistic transformation method. The two transformation methods yield qualitatively di®erent probability models. We argue that the plausibility transformation method is the correct method for translating a belief function model to an equivalent probability model that maintains belief function semantics.en
dc.format.extent1245764 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherSpringer-Verlagen
dc.relation.ispartofseriesLecture Notes in Artificial Intelligence;No. 2711-
dc.subjectDempster-Shafer belief functionsen
dc.subjectpignistic transformation methoden
dc.subjectplausibility transformation methoden
dc.subjectTransforming belief function models to probability modelsen
dc.titleA Comparison of Methods for Transforming Belief Function Models to Probability Modelsen
dc.typeBook chapteren
Appears in Collections:School of Business Articles

Files in this Item:

File Description SizeFormat
ECSQARU03.pdf1.22 MBAdobe PDFView/Open

Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.