Abstract:  In consideration of the subjectivity and fuzziness involved in the process of determining the importance of user demand and the problem of the neglect of the effect of the degree of user demand preference on the importance of user demand, a method of determining the comprehensive importance of user demands is proposed based on fuzzy theory, Kano model, approximate ideal solution ranking method and entropy weight method. First of all, market research and design research were made to obtain the original user demand information, and then fuzzy clustering was applied to obtain the new information. Secondly, we used fuzzy Kano model to investigate the new user requirements, acquiring the attribute classification of them as well as their Si and DSi coefficients. Thirdly, TOPSIS (technique for order preference by similarity to ideal solution) method was used to determine the matching degree of user demand factors and user satisfaction, and the quantitative value of user demand satisfaction was obtained. Finally, the entropy weight method was used to calculate the primary importance of user demand, and the user demand satisfaction value was multiplied by the primary importance weight to get the comprehensive importance function of user demand. Taking the design and development of a new type of civil friction welding machine as an example, we verified the feasibility and effectiveness of this method, providing implications for the design and development of high-end CNC machine tools.

Key words:  industrial design, fuzzy Kano model, TOPSIS, entropy weight method, comprehensive importance of user demand