关键词: 偏好信息, 产品设计方案, 优选方法, 广义马田系统, 模糊Kano模型, 汽车概念产品设计

Abstract: Aiming at the problem that the multiple attribute decision-making for product design schemes optimization was not considering the preference information of consumers and decision-makers simultaneously,an optimizing method of interval number generalized Mahalanobis-Taguchi system based on preference information was proposed.Semantic Mahalanobis-Taguchi and Gram-Schmidt were introduced to calculate the initial weights of attributes.The fuzzy Kano and extent analysis based on the preference information of consumers and decision-makers were presented to modify the weights of attributes.To deal with the disturbance of interaction between the attributes and the effects of different dimensions on the decisions,an optimizing method by integrating preference information of consumers and decision-makers was established.A case example of automobile conception design schemes optimization was given to verify the feasibility and effectiveness of the proposed method.

Key words: preference information, product design schemes, optimization method, generalized Mahalanobis-Taguchi system, fuzzy Kano model, automobile conception design