Title
On the plausibility transformation method for translating belief function models to probability models
Abstract
In this paper, we propose the plausibility transformation method for translating Dempster–Shafer (D–S) belief function models to probability models, and describe some of its properties. There are many other transformation methods used in the literature for translating belief function models to probability models. We argue that the plausibility transformation method produces probability models that are consistent with D–S semantics of belief function models, and that, in some examples, the pignistic transformation method produces results that appear to be inconsistent with Dempster’s rule of combination.
Document Type
Article
DOI
https://doi.org/10.1016/j.ijar.2005.06.008
Keywords
dempster–Shafer belief functions, plausibility transformation, dempster’s rule of combination, pignistic transformation method
Publication Date
2006
Recommended Citation
Cobb, Barry R., and Prakash P. Shenoy. "On the plausibility transformation method for translating belief function models to probability models." International journal of approximate reasoning 41, no. 3 (2006): 314-330.
Journal Title
International Journal of Approximate Reasoning
