A Kansei Evaluation Modeling for Product Design Support

In this paper, a multiple attribute decision making (MADM) approach which combine rough set with grey relational analysis (GRA) from grey system theory is proposed to establish a product design selection decision modeling considering kansei information. The proposed approach takes advantage of mathematical analysis power of grey system theory and at the same time take advantage of data mining and knowledge discovery power of rough set theory. It is suitable to the decision making under a more uncertain environment. A case of product design evaluation considering kansei information was used to validate the proposed approach.

並列關鍵字

Product design ； Multiple attribute decision making ； Grey relational analysis ； Rough set ； Kansei information

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