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| Title: | A Comparison of Methods for Transforming Belief Function Models to Probability Models |
| Authors: | Cobb, Barry R.
Shenoy, Prakash P. |
| Keywords: | Dempster-Shafer belief functions
pignistic transformation method
plausibility transformation method
Transforming belief function models to probability models |
| Issue Date: | Jul-2003 |
| Publisher: | Springer-Verlag |
| Extent: | 1245764 bytes |
| Type: | Book chapter |
| Citation: | Cobb, 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. |
| Series/Report no.: | Lecture Notes in Artificial Intelligence;No. 2711 |
| Abstract: | Recently, 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. |
| Description: | This 12-pp paper is extracted from a longer unpublished working paper: "On Transforming Belief Function Models to Probability Models," School of Business Working Paper No. 293, July 2003, University of Kansas,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. |
| URI: | http://hdl.handle.net/1808/155 |
| ISBN: | 3-540-40494-5 |
| ISSN: | 0302-9743 |
| Appears in Collections: | School of Business Articles
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