Evolutionary artificial neural network for selecting flexible manufacturing systems under disparate level-of-satisfaction of decision maker

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Evolutionary artificial neural network for selecting flexible manufacturing systems under disparate level-of-satisfaction of decision maker

This paper proposes the application of Meta-Learning Evolutionary Artificial Neural Network (MLEANN) in selecting the best flexible manufacturing systems (FMS) from a group of candidate FMSs. Multi-criteria decision-making (MCDM) methodology using an improved S-shaped membership function has been de...

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Bibliographic Details
Main Authors:	P., Vasant, A., Bhattacharya, A., Abraham, C., Grosan
Format:	Citation Index Journal
Language:	English
Published:	2007
Subjects:	Q Science (General) QA75 Electronic computers. Computer science
Online Access:	http://scholars.utp.edu.my/id/eprint/127/ http://scholars.utp.edu.my/id/eprint/127/1/paper.pdf

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