Abstract
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 d esign 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' preferenc es for a new characteristic toy design.
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