Multi-source Information Fusion Using Measure Representations

DOI10.1007/978-3-319-28808-6_12zbMath1429.28028OpenAlexW2463450959MaRDI QIDQ5213720

Ronald R. Yager

Publication date: 4 February 2020

Published in: On Logical, Algebraic, and Probabilistic Aspects of Fuzzy Set Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-28808-6_12

zbMATH Keywords

probability measureaggregation functionShannon entropyaggregation operatoruncertain variable

Mathematics Subject Classification ID

Fuzzy measure theory (28E10)

Cites Work

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• A measure based approach to the fusion of possibilistic and probabilistic uncertainty
• Generalized theory of uncertainty (GTU) -- principal concepts and ideas
• Towards a frequentist theory of upper and lower probability
• Fuzzy sets as a basis for a theory of possibility
• Triangular norms
• Absorbent tuples of aggregation operators
• Classic works on the Dempster-Shafer theory of belief functions
• Uncertainty and Information
• On the cardinality index and attitudinal character of fuzzy measures
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking
• Necessity Measures and the Resolution Principle
• From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions

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