The Combination of Evidence in the Transferable Belief Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Readings in uncertain reasoning
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Readings in uncertain reasoning
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International Journal of Approximate Reasoning
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Artificial Intelligence
Resolving misunderstandings about belief functions
International Journal of Approximate Reasoning - Special issue: The belief functions revisited: questions and answers
Artificial Intelligence
What is Dempster-Shafer's model?
Advances in the Dempster-Shafer theory of evidence
Representation of evidence by hints
Advances in the Dempster-Shafer theory of evidence
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Artificial Intelligence
The normative representation of quantified beliefs by belief functions
Artificial Intelligence
Evidence Theory and Its Applications
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Uncertainty, belief, and probability
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
The canonical decomposition of a weighted belief
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Information Sciences: an International Journal
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The interpretations of belief functins and their relationships with other uncertainty theories have been widely debated in the literature. Focusing on the interpretation of belief functions based on non-negative masses, in this paper we provide a contribution to this topic by addressing two questions concerning the relationships between belief functions and coherent lower probabilities. The answers we provide to both questions tend to exclude the existence of intuitively appreciable relationships between the two theories, under the above mentioned interpretation. While this may be regarded as a confirmation of the conceptual autonomy of belief functions, we also propose future research about an alternative characterization, based on the notion of independence.