关键词: 产品工业设计, 设计决策, 不完全互惠偏好关系, 共识达成, 粒子群优化算法

Abstract: To solve the problem of lack of preference in the decision-making process of product industrial design,the incomplete reciprocal preference relations were employed and the decision-making process of product industrial design was proposed.The basic theory,operation rules and missing preference processing algorithm of incomplete reciprocity preference relationship were studied,based on which the consistency weight of product scheme preference matrix was identified,and the decision makers’ trust weight was obtained by Analytic Hierarchy Process (AHP).A consensus degree model was established to evaluate the consistency of decision-making groups preference.According to the consistency weight of incomplete reciprocity preference relationship and the trust weight of decision-making group,a feedback mechanism was proposed to optimize the preference matrixes by integrating particle swarm optimization algorithm and minimum cost method,so as to promote the consensus of decision-making,output the overall dominance,and determine the pros and cons of the product design schemes.Taking the product design decision-making of automobile charging pile as an example,a software prototype system was developed and the method was verified that it could effectively deal with the lack of preference in product industrial design decision-making process,and improve the quality and efficiency of design decision-making.

Key words: product industrial design, design decision-making, incomplete reciprocal preference relations, consensus reaching, particle swarm optimization algorithm