Title | A NEW MULTICRITERIA DECISION MAKING APPROACH FOR UNIVERSITY RANKING: THE SKYLINE SIR METHOD |
Creator | |
Date Issued | 2021 |
Conference Name | 20th International Conference on Machine Learning and Cybernetics, ICMLC 2021 |
Source Publication | Proceedings - International Conference on Machine Learning and Cybernetics
![]() |
ISBN | 9781665466080 |
ISSN | 2160-133X |
Conference Date | December 4-5, 2021 |
Conference Place | Adelaide |
Abstract | University rankings released annually arise considerable attentions of the public, the media, and university stakeholders. Paradoxically, more attentions trigger more critiques from the experts and even university stakeholders. The commonly used ranking method, the weighted sum, has a flaw in unfairly overvaluing the best alternatives and undervaluing a large part of unique universities globally. In this paper, we contribute methodologically in multicriteria ranking approach when universities and their evaluations are ready. Through incorporating subjective preferences and objective values, our proposed two-stage skyline superiority and inferiority ranking (SIR) approach relies on relative (rather than absolute) differences of evaluation values. This approach uncovers unique values of those distinctive universities that should have been judged more fairly. We deliberate a comparable analysis based on the prevailing The Quacquarelli Symonds (QS) University Rankings of 2020. Our empirical studies uncover problematic issues in criteria systems of these prevailing university rankings, which are worth pondering on. © 2021 IEEE. |
Keyword | Skyline MCDM Multicriteria ranking The SIR method University ranking |
DOI | 10.1109/ICMLC54886.2021.9737266 |
URL | View source |
Indexed By | CPCI-S |
Language | 英语English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
WOS ID | WOS:000805238500005 |
Scopus ID | 2-s2.0-85127821536 |
Citation statistics | |
Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/10265 |
Collection | Faculty of Busines and Management |
Corresponding Author | Chai, Junyi |
Affiliation | 1.BNU-HKBU United International College, Division of Business and Management, Zhuhai, China 2.Centre for Evaluation Studies, Beijing Normal University, Zhuhai, China 3.Kent Business School, University of Kent, Canterbury, United Kingdom |
First Author Affilication | Beijing Normal-Hong Kong Baptist University |
Corresponding Author Affilication | Beijing Normal-Hong Kong Baptist University |
Recommended Citation GB/T 7714 | Chai, Junyi,Cheng, Ken,Liu, Wenbin. A NEW MULTICRITERIA DECISION MAKING APPROACH FOR UNIVERSITY RANKING: THE SKYLINE SIR METHOD[C], 2021. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment