Interval possibility measures: basic concepts and conditioning

DOI10.1108/03684920310458566zbMath1054.68147OpenAlexW2093790723WikidataQ57729216 ScholiaQ57729216MaRDI QIDQ4462614

Mourad Oussalah

Publication date: 18 May 2004

Published in: Kybernetes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/03684920310458566

zbMATH Keywords

conditioninginterval-valued fuzzy setspossibility measure

Mathematics Subject Classification ID

Theory of fuzzy sets, etc. (03E72) Reasoning under uncertainty in the context of artificial intelligence (68T37) Fuzzy measure theory (28E10)

Cites Work

• The logical view of conditioning and its application to possibility and evidence theories
• Interval valued fuzzy sets based on normal forms
• Epistemic necessity, possibility, and truth. Tools for dealing with imprecision and uncertainty in fuzzy knowledge-based systems
• Fuzzy sets as a basis for a theory of possibility
• Conditional possibilities independence and noninteraction
• Bayesian conditioning in possibility theory
• Interval-valued fuzzy sets representation on multiple antecedent fuzzy \(S\)-implications and reasoning
• The concept of conditional fuzzy measure
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• Probability, Frequency and Reasonable Expectation

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