Neural network implementation of fuzzy logic

DOI10.1016/0165-0114(92)90086-JzbMath0744.68125OpenAlexW2083023271MaRDI QIDQ1185022

Hossein Tahani, Ronald R. Yager, James M. Keller

Publication date: 28 June 1992

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-0114(92)90086-j

zbMATH Keywords

approximate reasoninglinguistic modelling

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Pattern recognition, speech recognition (68T10) Circuits, networks (94C99) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)

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Cites Work

• Feasible algorithms for approximate reasoning using fuzzy logic
• Fuzzy logic and approximate reasoning
• Fuzzy sets as a basis for a theory of possibility
• The concept of a linguistic variable and its application to approximate reasoning. III
• Some correction to 'Closed geodesics on certain Riemannian manifolds of positive curvature'
• Approximate reasoning as a basis for rule-based expert systems
• Fuzzy logic and approximate reasoning for mixed input arguments
• Fuzzy sets
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

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