Development of genetic algorithm-based fuzzy rules design for metal cutting data selection

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Development of genetic algorithm-based fuzzy rules design for metal cutting data selection

Fuzzy rules optimization is always a problem for a complex fuzzy model. For a simple 2-inputs-1-output fuzzy model, the designer has to select the most optimum set of fuzzy rules from more than 10000 combinations. The authors have developed fuzzy models for machinability data selection (Int. J. Flex...

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Bibliographic Details
Main Authors:	Wong, S.V, Hamouda, A.M.S
Format:	Article
Language:	English
Published:	Elsevier 2002
Online Access:	http://psasir.upm.edu.my/id/eprint/112935/ http://psasir.upm.edu.my/id/eprint/112935/1/112731.pdf

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