Evaluation of Talents' Scientific Research Capability based on Rough Set Fuzzy Clustering Algorithm

被引:3
作者
Xia, Yan [1 ]
Wu, Xinlin [1 ]
Feng, Hui [1 ]
机构
[1] Shanghai Educ Evaluat Inst, Shanghai Joint Lab Discipline Evaluat, Shanghai, Peoples R China
来源
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED EDUCATION (CSEDU), VOL 2 | 2017年
关键词
Rough Set; Fuzzy Clustering; Talent Evaluation; Scientific Research Capability;
D O I
10.5220/0006261603590366
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Scientific research is one of the main functions of universities and colleges. The scientific research level of universities and colleges depends on talents' scientific research capability. The evaluation of scientific research capability of talents is one of the effective methods to check their scientific research level. This paper presents a method to evaluate talents' scientific research capability based on rough set fuzzy clustering. The method introduces how to use domain rough set theory and generalized fuzzy C-means clustering algorithm to cluster and evaluate research capability of talents, combining with evaluation indicator system of scientific research capability. An automatic system to cluster and evaluate scientific research capability is implemented, verifying the method and analyzing data from a university in Shanghai. It provides advice and guidance for scientific research management and development strategy in order to promote the overall level of scientific research in universities and colleges.
引用
收藏
页码:359 / 366
页数:8
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