Reducing computational overhead by improving the CRI and IRI implication step

DOI10.1155/2015/725258zbMath1326.93076OpenAlexW2009116544WikidataQ59112457 ScholiaQ59112457MaRDI QIDQ892541

Joy Iong-Zong Chen, Thoai Phu Vo

Publication date: 19 November 2015

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/725258

zbMATH Keywords

divide-and-conquer techniqueexcessive complexitySISO fuzzy expert systemssort compositional rule-based inference (SCRI)sort individual rule-based inference (SIRI)

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) System structure simplification (93B11)

Cites Work

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• Formalization of implication based fuzzy reasoning method
• Triple I method of fuzzy reasoning
• Reducing computation overhead in MISO fuzzy systems
• The dual triple I methods of FMT and IFMT
• On the logic foundation of fuzzy reasoning
• Triple I algorithms based on Schweizer-Sklar operators in fuzzy reasoning
• Symmetric implicational method of fuzzy reasoning
• On robustness of the full implication triple I inference method with respect to finer measurements
• Unified full implication algorithms of fuzzy reasoning
• Fuzzy sets in a approximate reasoning. I: Inference with possibility distributions
• Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
• Outline of a New Approach to the Analysis of Complex Systems and Decision Processes

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