Epistemic necessity, possibility, and truth. Tools for dealing with imprecision and uncertainty in fuzzy knowledge-based systems
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Publication:1116361
DOI10.1016/0888-613X(89)90013-3zbMath0665.68078OpenAlexW2079989449MaRDI QIDQ1116361
Publication date: 1989
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0888-613x(89)90013-3
uncertaintypossibility theoryfuzzy setsapproximate reasoningimprecise informationfuzzy knowledge basesmultiple-valued truths
Related Items (8)
Fuzzy sets in a approximate reasoning. I: Inference with possibility distributions ⋮ FUZZY MEASURES AND FUZZY INTEGRALS: AN OVERVIEW ⋮ On the use of Hamacher's t-norms family for information aggregation. ⋮ Fuzzy modus ponens: A new model suitable for applications in knowledge-based systems ⋮ In memoriam: Philippe Smets (1938--2005) ⋮ Interval possibility measures: basic concepts and conditioning ⋮ Data fusion: a study of adaptative combinations with incomplete certainty qualification ⋮ Data fusion: a study of adaptative combinations with incomplete certainty qualification
Cites Work
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- The concept of a linguistic variable and its application to approximate reasoning. I
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- The concept of a linguistic variable and its application to approximate reasoning. III
- Fuzzy modus ponens: A new model suitable for applications in knowledge-based systems
- Resolution of composite fuzzy relation equations
- PRUF—a meaning representation language for natural languages
- Fuzzy sets
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