A comparison of methods for transforming belief function models to probability models

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2711, Issue , 2003, Pages 255-266

  Cobb, Barry R ^a   Shenoy, Prakash P ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; MATHEMATICAL TRANSFORMATIONS; SEMANTICS; THEOREM PROVING; UNCERTAINTY ANALYSIS;

BELIEF FUNCTIONS; MARGINALIZATION; PROBABILITY THEORY; BELIEF FUNCTION; COMPARISON OF METHODS; EQUIVALENT PROBABILITIES; PROBABILITY MODELS; TRANSFORMATION METHODS;

PROBABILITY;

EID: 8344289130     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45062-7_21     Document Type: Conference Paper

References (12)

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2. Cobb, B.R., Shenoy, P.P.: On Transformations of Belief Function Models to Probability Models. Working Paper No. 293, University of Kansas School of Business (2003)
3. Cobb, B.R., Shenoy, P.P.: Converting Belief Function Models to Probability Models Using the Plausibility Transformation. Working Paper, University of Kansas School of Business, submitted to UAI-03 (2003)
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10. Smets, P.: Decision Making in a Context Where Uncertainty is Represented by Belief Functions. In: Srivastava, R.P., Mock, T.J. (eds.): Belief Functions in Business Decisions. Physica-Verlag, Heidelberg (2002) 17-61
11. Smets, P., Kennes, R.: The Transferable Belief Model. Artificial Intelligence. 66 (1994) 191-234
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