A Relative Equilibrium Decision Approach for Concept Design through Fuzzy Cooperative Game Theory

[+] Author and Article Information
Liting Jing

No. 18 Chaowang Road Hangzhou, Zhejiang 310014 China jlt0805@foxmail.com

Zhi Li

Hangzhou, 310014, P.R.China Hangzhou, Zhejiang Province 310014 China 380801065@qq.com

Xiang Peng

No. 18 Chaowang Road Hangzhou, Zhejiang 310014 China pengxiang@zjut.edu.cn

Ji Q. Li

Laboratory of E&M (Zhejiang University of Technology), Ministry of Education & Zhejiang Province Hangzhou, ZheJiang 310014 China lijq@zjut.edu.cn

Shao F. Jiang

Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education & Zhejiang Province Hangzhou, ZheJiang 310014 China jsf75@zjut.edu.cn

1Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the Journal of Computing and Information Science in Engineering. Manuscript received July 30, 2018; final manuscript received January 17, 2019; published online xx xx, xxxx. Assoc. Editor: Caterina Rizzi.

ASME doi:10.1115/1.4042837 History: Received July 30, 2018; Accepted January 22, 2019


In the early stages of product design, multiple principle solutions are obtained through function solving, and a large number of conceptual schemes are generated by combination. Therefore, scheme decisions are important factors in concept design. The existing decision methods primarily focus on the satisfaction of customers' needs, and the impact of technical indicators on the technical performance of the scheme, while ignoring the conflict of needs between the two subject objectives in the decision process. Actual decisions need to be weighed against each other's expectations. In addition, the qualitative interactive between different decision objectives will affect the decision direction of the conceptual scheme. We herein propose a relative equilibrium decision approach for concept design based on the fuzzy decision making trial and evaluation laboratory-cooperative game model. This model is primarily divided into two parts. One is to solve the impact relationship between the objectives, and the objectives' weights are obtained through FDEMATEL. The second is to incorporate the objectives' weights and impact utility into the cooperative game model, reasonably weigh the relative interests of the two subjects to meet the corresponding interactions, and obtain the scheme with the largest overall design desirability. Finally, the case study proves that this decision model can identify the optimal scheme. This model is proven to be robust by comparison with other methods.

Copyright © 2019 by ASME
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