@inproceedings{9b1a784941be4746ab0e76d563b2b424,
title = "A hybrid approach to determining the best combination on product form design",
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.",
author = "Lin, {Yang Cheng} and Lai, {Hsin Hsi} and Yeh, {Chung Hsing} and Hung, {Chen Hui}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 ; Conference date: 14-09-2005 Through 16-09-2005",
year = "2005",
doi = "10.1007/11554028_34",
language = "English",
isbn = "354028897X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "235--241",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings",
address = "Germany",
}