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

Yang-Cheng Lin, Chung-Hsing Yeh

2015

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.

Paper Citation

in Harvard Style

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 - Volume 1: ANNIIP, (ICINCO 2015) ISBN 978-989-758-122-9, pages 653-658. DOI: 10.5220/0005577506530658

in Bibtex Style

@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 - Volume 1: ANNIIP, (ICINCO 2015)},
year={2015},
pages={653-658},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005577506530658},
isbn={978-989-758-122-9},
}

in EndNote Style

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