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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Lin, YC., Lai, HH., Yeh, CH., Hung, CH. (2005). A Hybrid Approach to Determining the Best Combination on Product Form Design. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_34
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DOI: https://doi.org/10.1007/11554028_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28897-8
Online ISBN: 978-3-540-31997-9
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