Bayesian and non-Bayesian evidential updating
Artificial Intelligence
The Combination of Evidence in the Transferable Belief Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian and belief-functions formalisms for evidential reasoning: a conceptual analysis
Readings in uncertain reasoning
Reasoning with belief functions: an analysis of compatibility
International Journal of Approximate Reasoning
On the justification of Dempster's rule of combination
Artificial Intelligence
International Journal of Approximate Reasoning - Special issue: The belief functions revisited: questions and answers
The combination of belief: when and how fast?
International Journal of Approximate Reasoning - Special issue: The belief functions revisited: questions and answers
Uncertain Information Processing in Expert Systems
Uncertain Information Processing in Expert Systems
Epistemic logics, probability, and the calculus of evidence
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Generating graphoids from generalised conditional probability
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
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This paper examines the concept of a combination rule for belief functions. It is shown that two fairly simple and apparently reasonable assumptions determine Dempster's rule, giving a new justification for it.