Abstract
To solve the user preferences based design team members optimization decision problems of industrial design in the cloud service platform, a design team members comprehensive ability evaluation method based on intuitionistic fuzzy sets and network analysis method was put forward. By combining the collaborative evaluation of existing methods and characteristics of cloud service platform, the design team members' comprehensive ability that had met user preferences was performed optimization and decision to build three-order evaluation model of networked collaborative design team members ability under industrial design cloud services platform. In the first stage of the model, the evaluation target based on user preferences was determined, the user's implicit demand preference was explored with fuzzy demand description method and was transformed into the evaluation target of cloud design team members by using the quality function configuration; in the second stage, the intuitionistic fuzzy sets and network analysis were used to evaluate the multiple attribute group decision making in the comprehensive evaluation of design team members and the hesitant degree of decision-makers; in the third stage, the design team members based on user preferences were optimized by combining with the quality function configuration. The design task of yachts on cloud service platform was taken as an example to verify the effectiveness and feasibility of the proposed method.
| Translated title of the contribution | Optimal selection method for design team members based on user preference in industrial design cloud service platform |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 2863-2873 |
| Number of pages | 11 |
| Journal | Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
| Volume | 25 |
| Issue number | 11 |
| DOIs | |
| State | Published - 1 Nov 2019 |
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