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Link to original content: https://doi.org/10.1007/11554028_34
A Hybrid Approach to Determining the Best Combination on Product Form Design | SpringerLink
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A Hybrid Approach to Determining the Best Combination on Product Form Design

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

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

  • eBook Packages: Computer ScienceComputer Science (R0)

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