This paper presents a consumer-oriented design approach to determine the optimal form design of characteristic toys that best matches consumers’ preferences. The consumer-oriented design approach is based on the process of Kansei Engineering using neural networks (NNs) and the technique for order preference by similarity to ideal solution (TOPSIS). The NN model is used to build a design decision support database, and then an NN-based TOPSIS decision support model is used to enable product designers to obtain the optimal design alternatives that best meet consumers’ preferences for a new characteristic toy design.
Digital Object Identifier (DOI)
Lin, Yang-Cheng; Chen, Chun-Chih; and Yeh, Chung-Hsing
"Intelligent Decision Support for New Product Development: A Consumer-Oriented Approach,"
Applied Mathematics & Information Sciences: Vol. 08:
6, Article 11.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol08/iss6/11