Research on Collaborative Design Alternatives Group Decision Making Based on CRIOWA Operators
Wei Zhenda1), Wang Yedong2)*, and Chen Ying2)
1) (School of Economics & Management, Nanjing University of Science & Technology, Nanjing 210094) 2) (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081)
Aiming at the shortcomings of the current information aggregation operators in solving the multi-criteria group decision making problems of collaborative design alternatives, this paper proposed a class-reliability-induced OWA operator based on density peak clustering algorithm. Firstly, the decision makers adopted the membership theory of fuzzy mathematics to quantitatively evaluate the alternative design scheme and form the decision matrix. The decision-making results of each decision maker for each scheme were taken as feature vectors. Secondly, an improved density peak clustering algorithm was proposed to cluster the decision vectors of each design scheme and obtain the clustering center as representative data of each cluster. Thirdly, the reliability of each cluster was calculated, and the information was aggregated using the class-reliability-induced OWA opera-tors. The comprehensive evaluation results of each design alternative were obtained. The collaborative decision of a certain type of satellite structure design was taken as an example to demonstrate the effectiveness of proposed approach in solving the multi-criteria group decision making problems.
collaborative design alternatives; group decision making; IOWA operators; density peak clustering algorithm