Decision-making of product industrial design based on incomplete reciprocal preference relations

被引：0

作者：

Yang Y. ^{[1
]}

Yu J. ^{[1
]}

Wang G. ^{[1
]}

机构：

[1] School of Construction Machinery, Chang'an University, Xi'an

来源：

| 1600年 / CIMS卷 / 27期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Consensus reaching; Design decision-making; Incomplete reciprocal preference relations; Particle swarm optimization algorithm; Product industrial design;

D O I：

10.13196/j.cims.2021.03.019

中图分类号：

学科分类号：

摘要：

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. © 2021, Editorial Department of CIMS. All right reserved.

引用

页码：878 / 886

页数：8

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