On the Dempster-Shafer framework and new combination rules
Information Sciences: an International Journal
An expert decision support system for production control
Decision Support Systems
Artificial Intelligence
Combining belief functions when evidence conflicts
Decision Support Systems
Pairwise classifier combination using belief functions
Pattern Recognition Letters
Analyzing the combination of conflicting belief functions
Information Fusion
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
A new combination of evidence based on compromise
Fuzzy Sets and Systems
International Journal of Approximate Reasoning
The First Belief Dominance: A New Approach in Evidence Theory for Comparing Basic Belief Assignments
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
Decision making in the TBM: the necessity of the pignistic transformation
International Journal of Approximate Reasoning
Classic Works of the Dempster-Shafer Theory of Belief Functions
Classic Works of the Dempster-Shafer Theory of Belief Functions
International Journal of Approximate Reasoning
EVCLUS: evidential clustering of proximity data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Main sources of inaccurate determination, uncertainty and imprecision in decision models
Mathematical and Computer Modelling: An International Journal
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We consider multicriteria choice problems where the actions are evaluated on ordinal criteria and where they can be assessed imprecisely. In order to select the subset of best actions, the pairwise comparisons between the actions on each criterion are modeled by basic belief assignments (BBAs). Dempster@?s rule of combination is used for the aggregation of the BBAs of each pair of alternatives in order to express a global comparison between them on all the criteria. A model inspired by ELECTRE I is also proposed and illustrated by a pedagogical example.