On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
When upper probabilities are possibility measures
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Study of some algebraical properties of adaptive combination rules
Fuzzy Sets and Systems
Modeling vague beliefs using fuzzy-valued belief structures
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
A probabilistic definition of a nonconvex fuzzy cardinality
Fuzzy Sets and Systems
Reasoning in Inconsistent Stratified Knowledge Bases
ISMVL '96 Proceedings of the 26th International Symposium on Multiple-Valued Logic
On the use of Hamacher's t-norms family for information aggregation
Information Sciences: an International Journal
Generalizing the conjunction rule for aggregating conflicting expert opinions: Research Articles
International Journal of Intelligent Systems - Uncertainty Processing
Detection of defective sources in the setting of possibility theory
Fuzzy Sets and Systems
Gradual elements in a fuzzy set
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Aggregation Functions: A Guide for Practitioners
Aggregation Functions: A Guide for Practitioners
Belief functions on real numbers
International Journal of Approximate Reasoning
Induced ordered weighted averaging operators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Joint Propagation and Exploitation of Probabilistic and Possibilistic Information in Risk Assessment
IEEE Transactions on Fuzzy Systems
Gradual Numbers and Their Application to Fuzzy Interval Analysis
IEEE Transactions on Fuzzy Systems
Elicitation, assessment, and pooling of expert judgments using possibility theory
IEEE Transactions on Fuzzy Systems
Managing information fusion with formal concept analysis
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
Algorithms for possibility assessments: Coherence and extension
Fuzzy Sets and Systems
A framework for multiset merging
Fuzzy Sets and Systems
On a non-nested level-based representation of fuzziness
Fuzzy Sets and Systems
Multisensor data fusion: A review of the state-of-the-art
Information Fusion
Merging interval-based possibilistic belief bases
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
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When multiple sources provide information about the same unknown quantity, their fusion into a synthetic interpretable message is often a tricky problem, especially when sources are conflicting. In this paper, we propose to use possibility theory and the notion of maximal coherent subsets (MCSs), often used in logic-based representations, to build a fuzzy belief structure that will be instrumental both for extracting useful insight about various features of the information conveyed by the sources and for compressing this information into a unique possibility distribution. Extensions and properties of the basic fusion rule are also studied.