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

Ji Huan and Ren Bo
Additional contact information
Ji Huan: School of Jincheng, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Ren Bo: Jilin University, Changchun, China

International Journal of Enterprise Information Systems (IJEIS), 2018, vol. 14, issue 2, 43-55

Abstract: 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.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJEIS.2018040103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jeis00:v:14:y:2018:i:2:p:43-55

Access Statistics for this article

International Journal of Enterprise Information Systems (IJEIS) is currently edited by Gianluigi Viscusi

More articles in International Journal of Enterprise Information Systems (IJEIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().