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KŮDELA, J.
Original Title
Mixed-integer programming model for ranking universities: Letting universities choose the weights
Type
journal article in Scopus
Language
English
Original Abstract
Regardless of the shortcomings and criticisms of world university rankings, these metrics are still widely used by students and parents to select universities and by universities to attract talented students and researchers, as well as funding. This paper proposes a new mixed-integer programming model for ranking universities. The new approach alleviates one of the criticisms – the issue of the “arbitrari-ness” of the weights used for aggregation of the individual criteria (or indicators) utilized in the contemporary rankings. Instead, the proposed model uses intervals of different sizes for the weights and lets the universities themselves “choose” the weights to optimize their position in the rankings. A numerical evaluation of the proposed ranking, based on the indicator values and weights from the Times Higher Education World University Ranking, is presented.
Keywords
Mixed integer programming; Multiple-criteria decision-making; Ranking; University ranking
Authors
Released
21. 6. 2021
ISBN
1803-3814
Periodical
Mendel Journal series
Year of study
27
Number
1
State
Czech Republic
Pages from
41
Pages to
48
Pages count
8
URL
https://mendel-journal.org/index.php/mendel/article/view/133
BibTex
@article{BUT172124, author="Jakub {Kůdela}", title="Mixed-integer programming model for ranking universities: Letting universities choose the weights", journal="Mendel Journal series", year="2021", volume="27", number="1", pages="41--48", doi="10.13164/mendel.2021.1.041", issn="1803-3814", url="https://mendel-journal.org/index.php/mendel/article/view/133" }