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TitleA NEW MULTICRITERIA DECISION MAKING APPROACH FOR UNIVERSITY RANKING: THE SKYLINE SIR METHOD
Creator
Date Issued2021
Conference Name20th International Conference on Machine Learning and Cybernetics, ICMLC 2021
Source PublicationProceedings - International Conference on Machine Learning and Cybernetics
ISBN9781665466080
ISSN2160-133X
Conference DateDecember 4-5, 2021
Conference PlaceAdelaide
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.

KeywordSkyline MCDM Multicriteria ranking The SIR method University ranking
DOI10.1109/ICMLC54886.2021.9737266
URLView source
Indexed ByCPCI-S
Language英语English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000805238500005
Scopus ID2-s2.0-85127821536
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/10265
CollectionFaculty of Busines and Management
Corresponding AuthorChai, 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 AffilicationBeijing Normal-Hong Kong Baptist University
Corresponding Author AffilicationBeijing 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.
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