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

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

Ji Huan, Ren Bo
Copyright: © 2018 |Volume: 14 |Issue: 2 |Pages: 13
ISSN: 1548-1115|EISSN: 1548-1123|EISBN13: 9781522542698|DOI: 10.4018/IJEIS.2018040103
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MLA

Huan, Ji, and Ren Bo. "Application of the Big Data Grey Relational Decision-Making Algorithm to the Evaluation of Resource Utilization in Higher Education." IJEIS vol.14, no.2 2018: pp.43-55. http://doi.org/10.4018/IJEIS.2018040103

APA

Huan, J. & Bo, R. (2018). Application of the Big Data Grey Relational Decision-Making Algorithm to the Evaluation of Resource Utilization in Higher Education. International Journal of Enterprise Information Systems (IJEIS), 14(2), 43-55. http://doi.org/10.4018/IJEIS.2018040103

Chicago

Huan, Ji, and Ren Bo. "Application of the Big Data Grey Relational Decision-Making Algorithm to the Evaluation of Resource Utilization in Higher Education," International Journal of Enterprise Information Systems (IJEIS) 14, no.2: 43-55. http://doi.org/10.4018/IJEIS.2018040103

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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.

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