Issue |
E3S Web Conf.
Volume 601, 2025
The 3rd International Conference on Energy and Green Computing (ICEGC’2024)
|
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Article Number | 00105 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/e3sconf/202560100105 | |
Published online | 16 January 2025 |
Optimizing University Program Selection: A Comparative Study of Multi-Criteria Methods
1 Interdisciplinary Research Laboratory in Sciences, Education and Training Higher Education and Training School, Hassan 1st University, Settat, Morocco
2 Laboratory: Modelling and Simulation of Intelligent Industrial Systems ENSET of Mohammedia, Hassan II University, Casablanca, Morocco
* Corresponding author: ansar.daghouri@uhp.ac.ma
This paper aims to present a comparative study of multi-criteria decision-making methods to optimize the selection of university programs. The results of implementing five MCDM methods are compared by evaluating each method using a hierarchical model, which is decomposed into a set of criteria. These criteria include the reputation of the university, the quality of teaching, career prospects, financial costs, the adaptability of the program, and the personal preferences of the student. The results indicate that there are both similarities and differences in the ranking of university programs. This study presents a hierarchical model for evaluating university programs according to the preferences of individual students. It offers an in-depth perspective on the benefits and limitations of each method in the decision-making process.
Key words: criteria / model / university program selection / decision making / alternatives
© The Authors, published by EDP Sciences, 2025
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