Fuzzy Control and Modeling: Analytical Foundations and Applications

By H. Ying. 2000

376 citations recorded by the source corpus.

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Development of a biomimetic robotic fish and its control algorithm (2004, unknown): “1) fuzzification, where a crisp input is translated into a fuzzy value; 2) rule evaluation, where the fuzzy output truth values are computed; 3) defuzzification, where the fuzzy output is translated to a crisp value [30], [31].”
Is there a need for fuzzy logic? (2008, background): “The concept of a linguistic variable – and the associated calculi of fuzzy if–then rules – play pivotal roles in almost all applications of fuzzy logic [7,68,12,20,34,3,28,70,13,17,30,37,71,8,72,43,39,57,1,53].”