Novel neural algorithms based on fuzzy \(\delta\) rules for solving fuzzy relation equations. I

DOI10.1016/S0165-0114(96)00137-6zbMath0921.68074MaRDI QIDQ1282887

Xiaozhong Li, Da Ruan

Publication date: 29 September 1999

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

zbMATH Keywords

fuzzy relation equationfuzzy \(\delta\) rulefuzzy bidirectional associative memorymax-min operator networkmax-times operator networkneural algorithms

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Theory of fuzzy sets, etc. (03E72)

Related Items (2)

Analyses of equilibrium by fuzzy connection networks related to max-min fuzzy Hopfield networks ⋮ Novel neural algorithms based on fuzzy \(\delta\) rules for solving fuzzy relation equations: II

Cites Work

• Some theoretical aspects of fuzzy-relation equations describing fuzzy systems
• Fuzzy relation equations and inequalities
• Solutions of composite fuzzy relational equations with triangular norms
• Approximately solving fuzzy relation equations: Some mathematical results and some heuristic proposals
• Resolution of composite fuzzy relation equations
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