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A Study on the Application of Coordinated TOPSIS in Evaluation of Robotics Academic Journals

Liping Yu, Yang Wen-hua, Yunlong Duan, Xinwen Long

Year
2018
Citations
15
Access
Open access

Abstract

While TOPSIS is a widely used evaluation method, it lacks evaluation from the perspective of indicator coordination. Based on the analysis of TOPSIS evaluation methods, this paper proposes a new assessment method, coordinated TOPSIS, which takes into account the advantages of TOPSIS evaluation methods and the coordination level of evaluation indicators. Taking the robotics academic journals as an example, the TOPSIS evaluation and the coordinated TOPSIS evaluation results are compared. The research shows that the weights of the coordinated TOPSIS method can be manually adjusted according to the purpose of evaluation and have a good flexibility; the TOPSIS evaluation results and coordinated TOPSIS evaluation results have a high degree of correlation, but the difference from the perspective of the ranking is big; the coordinated TOPSIS is very suitable for evaluation field that needs to consider the coordinated development, and it can be replicated.

Keywords

TOPSISRanking (information retrieval)Flexibility (engineering)Computer scienceEvaluation methodsRoboticsField (mathematics)Perspective (graphical)Artificial intelligenceOperations research

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