Grey Relational Analysis based Artificial Neural Networks for Product Design: A Comparative Study

Yang-Cheng Lin; Chung-Hsing Yeh

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Paper

Grey Relational Analysis based Artificial Neural Networks for Product Design: A Comparative Study

In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ANNIIP, 653-658, 2015 , Colmar, Alsace, France

Authors: Yang-Cheng Lin ¹ and Chung-Hsing Yeh ²

Affiliations: ¹ National Dong Hwa University, Taiwan ; ² Monash University, Australia

Keyword(s): Product Design, Form Design, Artificial Neural Networks, Grey Relational Analysis, Grey Prediction.

Abstract: Artificial neural networks (ANNs) have been applied successfully in a wide range of fields due to its effective learning ability. In this paper, we propose a grey relational analysis (GRA) based ANN model that can be used to build a design decision support database for facilitating the product design process and matching specific consumers’ preferences. The result of an empirical application and a comparative study on fragrance bottle form design shows that the ANN models outperform the grey prediction models, indicating that the ANN technique is promising to help product designers design a new product that best meets consumers’ needs.

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Paper citation in several formats:

Lin, Y. and Yeh, C. (2015). Grey Relational Analysis based Artificial Neural Networks for Product Design: A Comparative Study. In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2015) - Volume 1: ANNIIP; ISBN 978-989-758-122-9; ISSN 2184-2809, SciTePress, pages 653-658. DOI: 10.5220/0005577506530658

@conference{anniip15,
author={Yang{-}Cheng Lin. and Chung{-}Hsing Yeh.},
title={Grey Relational Analysis based Artificial Neural Networks for Product Design: A Comparative Study},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2015) - Volume 1: ANNIIP},
year={2015},
pages={653-658},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005577506530658},
isbn={978-989-758-122-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2015) - Volume 1: ANNIIP
TI - Grey Relational Analysis based Artificial Neural Networks for Product Design: A Comparative Study
SN - 978-989-758-122-9
IS - 2184-2809
AU - Lin, Y.
AU - Yeh, C.
PY - 2015
SP - 653
EP - 658
DO - 10.5220/0005577506530658
PB - SciTePress