Artificial Intelligence
What is Dempster-Shafer's model?
Advances in the Dempster-Shafer theory of evidence
Analyzing the combination of conflicting belief functions
Information Fusion
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Decision fusion for postal address recognition using belief functions
Expert Systems with Applications: An International Journal
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
Combination of partially non-distinct beliefs: The cautious-adaptive rule
International Journal of Approximate Reasoning
The canonical decomposition of a weighted belief
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Hierarchical and conditional combination of belief functions induced by visual tracking
International Journal of Approximate Reasoning
Relevance and truthfulness in information correction and fusion
International Journal of Approximate Reasoning
Assessing sensor reliability for multisensor data fusion within the transferable belief model
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Classifier fusion in the Dempster--Shafer framework using optimized t-norm based combination rules
International Journal of Approximate Reasoning
Towards an alarm for opposition conflict in a conjunctive combination of belief functions
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Singular sources mining using evidential conflict analysis
International Journal of Approximate Reasoning
Relevance and truthfulness in information correction and fusion
International Journal of Approximate Reasoning
Journal of Theoretical and Applied Electronic Commerce Research
Controlling Remanence in Evidential Grids Using Geodata for Dynamic Scene Perception
International Journal of Approximate Reasoning
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In this article, the contextual discounting of a belief function, a classical discounting generalization, is extended and its particular link with the canonical disjunctive decomposition is highlighted. A general family of correction mechanisms allowing one to weaken the information provided by a source is then introduced, as well as the dual of this family allowing one to strengthen a belief function.