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Contextual Discounting of Belief Functions
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Belief Functions
Contextual Discounting of Belief Functions
David Mercier1, 2 , Benjamin Quost1 and Thierry Denœux1 
| (1) |
Université de Technologie de Compiègne, UMR CNRS 6599 Heudiasyc, BP20529, F-60205 Compiègne Cedex, France |
| (2) |
SOLYSTIC, 14 avenue Raspail, F-94257 Gentilly Cedex, France |
Abstract
The Transferable Belief Model is a general framework for managing imprecise and uncertain information using belief functions. In this framework, the discounting operation allows to combine information provided by a source (in the form of a belief function) with metaknowledge regarding the reliability of that source, to compute a “weakened”, less informative belief function. In this article, an extension of the discounting operation is proposed, allowing to make use of more detailed information regarding the reliability of the source in different contexts, a context being defined as a subset of the frame of discernment. Some properties of this contextual discounting operation are studied, and its relationship with classical discounted is explained.
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