REPRESENTING DEFAULTS IN THE FRAMEWORK OF POSSIBILITY THEORY∗

DOI10.1080/03081079708945163zbMath0877.68106OpenAlexW2012955478MaRDI QIDQ3130057

Churn-Jung Liau

Publication date: 8 December 1997

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081079708945163

zbMATH Keywords

possibility theoryincomplete informationvague informationprioritized default logic

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Logic in artificial intelligence (68T27) Knowledge representation (68T30) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)

Cites Work

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• Using approximate reasoning to represent default knowledge
• Formalizing nonmonotonic reasoning systems
• Default reasoning and possibility theory
• A logic for default reasoning
• Cumulative default logic: In defense of nonmonotonic inference rules
• Fuzzy sets as a basis for a theory of possibility
• Fuzzy sets in a approximate reasoning. I: Inference with possibility distributions
• A GENERALIZED VIEW OF NONMONOTONIC KNOWLEDGE: A SET OF THEORETIC PERSPECTIVE
• PRUF—a meaning representation language for natural languages

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