Robustness of fuzzy operators in environments with random perturbations

DOI10.1007/S00500-009-0497-YzbMath1207.68393OpenAlexW2044317743MaRDI QIDQ707627

Kai-Yuan Cai, Zheng Zheng, Wei Liu

Publication date: 8 October 2010

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-009-0497-y

zbMATH Keywords

robustnessrandom perturbationfuzzy operatorsdecision systems

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Cites Work

• Comparison of fuzzy reasoning methods
• The concept of a linguistic variable and its application to approximate reasoning. I
• The concept of a linguistic variable and its application to approximate reasoning. II
• The concept of a linguistic variable and its application to approximate reasoning. III
• A note on the value similarity of fuzzy systems variables
• \(\delta\)-equalities of fuzzy sets
• On the logic foundation of fuzzy reasoning
• Value approximation of fuzzy systems variables
• Intelligent multi-criteria fuzzy group decision-making for situation assessments
• Fuzzy sets in a approximate reasoning. I: Inference with possibility distributions
• An approach to measure the robustness of fuzzy reasoning
• Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
• Decision-Making in a Fuzzy Environment
• Fuzzy reasoning in decision making and optimization

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