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

• Main Authors: P., Vasant, A., Bhattacharya, A., Abraham, C., Grosan
• Format: Citation Index Journal
• Published: 2007
• Subjects: Q Science (General); QA75 Electronic computers. Computer science
• Online Access: http://eprints.utp.edu.my/127/1/paper.pdf; http://www.scopus.com/inward/record.url?eid=2-s2.0-38049061772&partnerID=40&md5=828f2e8eaeb8da9b97e57e6d254e667f; http://eprints.utp.edu.my/127/

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...