Properties of fuzzy implication operators

DOI10.1016/S0888-613X(87)80002-6zbMath0653.68105OpenAlexW2061673213MaRDI QIDQ1108061

Wyllis Bandler, Kyung-Whan Oh

Publication date: 1987

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0888-613x(87)80002-6

zbMATH Keywords

fuzzy logicfuzzy implicationfuzzy expert systemsbackward implicationforward implication

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Artificial intelligence (68T99)

Related Items (8)

Coimplication and its application to fuzzy expert systems ⋮ Fuzzy sets in a approximate reasoning. I: Inference with possibility distributions ⋮ Fuzzy inference in a formal theory of semantic equivalence ⋮ The \(\circledast\)-composition of fuzzy implications: closures with respect to properties, powers and families ⋮ On the use of Hamacher's t-norms family for information aggregation. ⋮ Processing Direction with Ordered Fuzzy Numbers ⋮ Data fusion: a study of adaptative combinations with incomplete certainty qualification ⋮ Data fusion: a study of adaptative combinations with incomplete certainty qualification

Cites Work

• The role of fuzzy logic in the management of uncertainty in expert systems
• A general concept of fuzzy connectives, negations and implications based on t-norms and t-conorms
• Fuzzy power sets and fuzzy implication operators
• Two fuzzier implication operators in the theory of fuzzy power sets
• Fuzzy sets and systems. Theory and applications
• A general class of fuzzy operators, the DeMorgan class of fuzzy operators and fuzziness measures induced by fuzzy operators
• A new approach to approximate reasoning using a fuzzy logic
• The logic of inexact concepts
• Foundations of fuzzy reasoning
• Fuzzy logic and approximate reasoning for mixed input arguments
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