Abstract
This paper presents a hybrid approach, using a grey relational analysis (GRA), neural networks (NNs), and a tabu search (TS) algorithm, to determining the best combination of product form design. The GRA model is used to identify the most influential elements of product form. The NN model is used in conjunction with the GRA model, in order to predict and suggest the best form design combination. The TS is applied to search for the best global solution. The hybrid approach provides useful insights to help product designers work out the best combination of product form design for matching the given product image. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Lin, Y. C., Lai, H. H., Yeh, C. H., & Hung, C. H. (2005). A hybrid approach to determining the best combination on product form design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3684 LNAI, pp. 235–241). Springer Verlag. https://doi.org/10.1007/11554028_34
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
