Michael A. Lee

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This paper proposes an automatic fuzzy system design method that uses a Genetic Algorithm and integrates three design stages; our method determines membership functions, the number of fuzzy rules, and the ruleconsequent parameters at the same time. Because these design stages may not be independent, it is important to consider them simultaneously to obtain(More)
This work has been supported by NSF CDA 9617541, by the Ohio Board of Regents Research Challenge and by Kent State University. 1 Department of Mathematics and Computer Science, Kent State University, Kent, OH 44242, bennett@mcs.kent.edu 2 Department of Mathematics and Computer Science, Kent State University, Kent, OH 44242, farrell@mcs.kent.edu 3 Physics(More)