Application of the Big Data Grey Relational Decision-Making Algorithm to the Evaluation of Resource Utilization in Higher Education

被引：5
|
作者：
Huan, Ji [1 ]
Bo, Ren [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Sch Jincheng, Nanjing, Jiangsu, Peoples R China
[2] Jilin Univ, Changchun, Jilin, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ENTERPRISE INFORMATION SYSTEMS | 2018年 / 14卷 / 02期
关键词：
Big Data; Grey Relational Decision-Making Algorithm; Higher Education Resource Utilization; Performance Evaluation;
D O I：
10.4018/IJEIS.2018040103
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, the authors apply the big grey relational decision-making algorithm to improve performance evaluation effectiveness of the higher educational resources utilization. First, they discuss the performance evaluation indexes in higher education. Second, they propose the big data grey relational decision algorithm. Third, they establish the mathematical models of entropy weight and grey evaluation method. Finally, the authors carry out an evaluation simulation analysis on four cities as researching objects. The results show that the big data grey relational decision-making algorithm is an effective method for evaluating the higher educational resource utilization.
引用
收藏
页码：43 / 55
页数：13
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