A short note on fuzzy relational inference systems
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Publication:1794941
DOI10.1016/j.fss.2017.08.006zbMath1397.03041OpenAlexW2750199057MaRDI QIDQ1794941
Martin Štěpnička, Balasubramaniam Jayaram, Yong Su
Publication date: 16 October 2018
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: http://raiith.iith.ac.in/3506/1/Fuzzy%20Sets%20and%20Systems_1-17_2017.pdf
fuzzy relational equationscompositional rule of inferenceBandler-Kohout subproductfuzzy relational inference systemsrobustness of inference
Fuzzy logic; logic of vagueness (03B52) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Cites Work
- Interpolativity of at-least and at-most models of monotone fuzzy rule bases with multiple antecedent variables
- Logical structure of fuzzy IF-THEN rules
- Correct models of fuzzy IF-THEN rules are continuous
- Applications of fuzzy relational equations for methods of reasoning in presence of fuzzy data
- What are fuzzy rules and how to use them
- Compositional rule of inference as an analogical scheme
- Interpolativity of at-least and at-most models of monotone single-input single-output fuzzy rule bases
- Semantics of implication operators and fuzzy relational products
- An experiment in linguistic synthesis with a fuzzy logic controller
- Resolution of composite fuzzy relation equations
- Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
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