Contextual discounting of belief functions

Authors:
David Mercier;Benjamin Quost;Thierry Denœux
Affiliations:
Université de Technologie de Compiègne, UMR CNRS 6599 Heudiasyc, Compiègne Cedex, France;Université de Technologie de Compiègne, UMR CNRS 6599 Heudiasyc, Compiègne Cedex, France;Université de Technologie de Compiègne, UMR CNRS 6599 Heudiasyc, Compiègne Cedex, France
Venue:
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2005

Citing 2
Cited 1

The transferable belief model

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Assessing sensor reliability for multisensor data fusion within the transferable belief model

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Refined modeling of sensor reliability in the belief function framework using contextual discounting

Information Fusion

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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.