Abstract
This paper is based on Kansei engineering theories and methods combines with hierarchical clustering and gray correlation theory. The information of consumers perceptual demands for the product is obtained, and after that the existing products are collected and sifted, and their design elements are analyzed. The information of consumers perceptual demands is classified and extracted by using systematic clustering method perceptual demands. Two incidence matrixes have been created by investigating consumers perceptual demands. Finally, we get the incidence matrix between consumers perceptual demands and existing product samples. Also, analysis of correlation between each sample and the perceptual demands of consumers was made by using gray correlation theory.
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