Research on the quality of graduate students in provincial universities based on entropy weight TOPSIS and RSR―take changchun university as an example

Yingjie Zhu, Jiageng Ma,Xiangqun Yang,Yiwen Wang,Han Li, Dejun Wang

2022 18th International Conference on Computational Intelligence and Security (CIS)(2022)

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摘要
The quality of graduate students is one of the most important aspects that affect the quality of graduate education. This research builds a system of quality evaluation for graduate students by using Pearson Correlation Coefficient. The indicators are empowered by basing on the entropy weight method, and the candidates are ranked by according to the TOPSIS and RSR model. The difference between the two models is not noticeable, and the sorting outcomes are superior, by comparing the sorting results. We apply these models to study the quality of graduate students in Changchun University, and we obtain the conclusion that the quality of students in literature, law and economics are the best among all admissions majors.
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关键词
TOPSIS,RSR,Student quality,Evaluation system,PCCs
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