Fuzzy neural network modeling for product development

Authors:
Hsu Chi-Hsing;B. C. Jiang;E. S. Lee
Affiliations:
Department of Industrial Engineering Yuan-Ze University, Chung-Li, 32026 Taiwan, R.O.C.;Department of Industrial Engineering Yuan-Ze University, Chung-Li, 32026 Taiwan, R.O.C.;Department of Industrial Engineering Yuan-Ze University, Chung-Li, 32026 Taiwan, R.O.C.
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
1999

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Abstract

A fairly general product development model is formulated and analyzed based on multiple attribute decision making with emphasis on the treatment of the linguistic and vague aspects by fuzzy logic and up-dating or learning by neural network. Due to the representative ability of fuzzy set theory and the learning or intelligent ability of neural network, the proposed approaches appear to be an effective tool for handling vague and not well-defined systems.