From adaptive to progressive combination of possibility distributions

DOI10.1016/S0165-0114(02)00513-4zbMath1032.94540MaRDI QIDQ1414756

Claude Barret, Hichem Maaref, Mourad Oussalah

Publication date: 4 December 2003

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

zbMATH Keywords

ModellingData fusionPossibility theoryAdaptive combinationcomparing informationpossibility distributions and measuresProgressive rule

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Measures of information, entropy (94A17) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)

Related Items (1)

On the use of Hamacher's t-norms family for information aggregation.

Cites Work

• Unnamed Item
• Fuzzy data analysis
• Fuzzy sets as a basis for a theory of possibility
• Fundamentals of uncertainty calculi with applications to fuzzy inference
• Triangular norms
• Study of some algebraical properties of adaptive combination rules
• Fuzzy sets in a approximate reasoning. I: Inference with possibility distributions
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking

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