On the Dempster-Shafer framework and new combination rules
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Two views of belief: belief as generalized probability and belief as evidence
Artificial Intelligence
Artificial Intelligence
Supremum preserving upper probabilities
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Analyzing the degree of conflict among belief functions
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Analyzing the combination of conflicting belief functions
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IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Expert Systems with Applications: An International Journal
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Belief functions combination without the assumption of independence of the information sources
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Determine discounting coefficient in data fusion based on fuzzy ART neural network
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Probabilistic transformations of belief functions
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Towards an integrated formal analysis for security and trust
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International Journal of Multimedia Data Engineering & Management
Expert Systems with Applications: An International Journal
How to preserve the conflict as an alarm in the combination of belief functions?
Decision Support Systems
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The consensus operator provides a method for combining possibly conflicting beliefs within the Dempster-Shafer belief theory, and represents an alternative to the traditional Dempster's rule. This paper describes how the consensus operator can be applied to dogmatic conflicting opinions, i.e., when the degree of conflict is very high. It overcomes shortcomings of Dempster's rule and other operators that have been proposed for combining possibly conflicting beliefs.