A Multi-Criteria Decision Making Approach for Enhancing University Accreditation Process

Authors

  • N. Benmoussa Signals, Distributed Systems and Artificial Intelligence Laboratory, ENSET Mohammedia, University of Hassan II, Mohammedia, Morocco
  • A. Elyamami Signals, Distributed Systems and Artificial Intelligence Laboratory, ENSET Mohammedia, University of Hassan II, Mohammedia, Morocco
  • K. Mansouri Signals, Distributed Systems and Artificial Intelligence Laboratory, ENSET Mohammedia, University of Hassan II, Mohammedia, Morocco
  • M. Qbadou Signals, Distributed Systems and Artificial Intelligence Laboratory, ENSET Mohammedia, University of Hassan II, Mohammedia, Morocco
  • E. Illoussamen Signals, Distributed Systems and Artificial Intelligence Laboratory, ENSET Mohammedia, University of Hassan II, Mohammedia, Morocco
Volume: 9 | Issue: 1 | Pages: 3726-3733 | February 2019 | https://doi.org/10.48084/etasr.2352

Abstract

This paper is an attempt to provide an accreditation training process model by the criteria established by the National Agency for Evaluation and Quality Assurance of Higher Education and Training. The aim is to minimize rejection returns or revisions of the training record. The main feature of our contribution is the use of multi-criteria decision making (MCDM) approaches for calculating the suitability of proposed courses. Therefore, our contribution will is concretized by the analysis of various decision support multi-criteria methods, the modeling of the general accreditation process of university courses, the development of a risk management matrix concerning the launch of new courses and the application of TOPSIS (technique for order of preference by similarity to ideal solution) on a sample of courses according to internal and external criteria, collected during interviews in Moroccan universities. Result analysis shows that the proposed model allows a better prioritization of training and thus avoids the abrupt closure of courses because of lack of material or human resources.

Keywords:

decision support, MCDM, accreditation, risk management matrix, TOPSIS

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Author Biography

K. Mansouri, Signals, Distributed Systems and Artificial Intelligence Laboratory, ENSET Mohammedia, University of Hassan II, Mohammedia, Morocco

Signals, Distributed Systems and Artificial Intelligence Laboratory, ENSET Mohammedia, University of Hassan II, Casablanca 20000, Morocco

References

Moussa Diaby, Fabrice Valognes, André Clément-Demange «Utilisation d’une méthode multicritère d’aide à la décision pour le choix des clones d’hévéa à planter en Afrique» Biotechnol. Agron. Soc. Environ. 14 (2), pp. 299-309, 2010.

Daniel VANDERPOOTEN LAMSADE, «Aide multicritère à la décision Concepts, méthodes et perspectives», ENS Cachan, 2008.

Sami Ben Mena, «Introduction aux méthodes multicritères d’aide à la décision», Biotechnol. Agron. Soc. Environ. 4 (2), pp. 83–93, 2000.

Jordan Ninin, Laurène Mazeau, «La recherche opérationnelle: De quelques enjeux juridiques des mécanismes d’aide à la décision», Centre de recherche en droit public, 22, pp.57-79, 2017.

Daniel Cosmin Porumbel, «Algorithmes Heuristiques et Techniques d’Apprentissage - Applications au Probleme de Coloration de Graphe», Laboratoire d’études et de recherche en informatique, 2009.

Bernard Roy, «Historical look at the place of operational research and decision aiding in France», Éd. Centre d’analyse et de mathématique sociales de l’EHESS, 175-Varia, pp. 25-40, 2006

Hassene Aissi, Bernard Roy, «Robustesse en aide multicritère à la décision», 2008.

A APPRIOU, «Traitement du signal Méthodologie de la gestion intelligente des senseurs», vol. 22, N° 4, 2005.

Mohamed Hanine, Omar Boutkhoum, Abdessadek Tikniouine, Tarik Agouti, «Application of an integrated multi-criteria decision making AHP-TOPSIS methodology for ETL software selection», Springerplus, vol. 5, pp. 263, 2016. DOI: https://doi.org/10.1186/s40064-016-1888-z

Franz Tscheikner-Gratl, Patrick Egger, Wolfgang Rauch, Manfred Kleidorfer, «Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization», Ed. Gregory L. Leslie Received, 2016, 2017. DOI: https://doi.org/10.3390/w9020068

D. Ozturk, F. Batuk, «Technique for order preference by similarity to ideal solution (topsis) for spatial decision problems», 2017.

Abbas Mardani, Ahmad Jusoh, Khalil MD Nor, Zainab Khalifah, Norhayati Zakwan & Alireza, «Multiple criteria decision-making techniques and their applications», Economic Research-Ekonomska Istraživanja, vol. 28 (1), pp. 516-571, 2015. DOI: https://doi.org/10.1080/1331677X.2015.1075139

Tamosaitiene, Jolanta, Zavadskas, Edmundas, Turskis, Zenonas, Povilas Vainiūnas, «Multi-criteria complex for profitability analysis of construction projects», 2011.

Zavadskas, Edmundas, Mardani, Abbas, Turskis, Zenonas, Jusoh, Ahmad, Nor, Khalil, «Development of TOPSIS method to solve complicated decision-making problems», International Journal of Information Technology and Decision, 2016. DOI: https://doi.org/10.1142/S0219622016500176

G. O. Odu, and O. E. Charles-Owaba, «Multi-criteria Optimization Methods – Theory and Applications», IOSR Journal of Engineering, Vol. 3, pp. 01-14, 2013. DOI: https://doi.org/10.9790/3021-031020114

dorra ayadi, «Optimisation multicritère de la fiabilite : application du modèle de goal programming avec les fonctions de satisfactions dans l’industrie de traitement de gaz», 2010.

Katarzyna SOLECKA, «urban public transport system assessment; integration of public transport; multiple-criteria decision making », Vol. 9, issue 4, 2014.

Liu Sifeng, Cai Hua, Cao Ying, Yang Yingjie, «Advance in grey incidence analysis modelling», vol 3, N° 1, 2013.

Fong-Yuan Ma, «Analysis of energy effinciency operational indicator of bulk carrier operational data using», Academic Journal, vol. 5 (4), pp.30-36, 2014. DOI: https://doi.org/10.5897/JOMS2014.0105

J. Figueira, S. Greco et M. Ehrgott, Multiple Criteria Decision Analysis: State of the Art Surveys, Springer Verlag, 2005 DOI: https://doi.org/10.1007/b100605

S.C.Deshmukh 1,BVDU, COE Pune, «Preference Ranking Organization Method Of Enrichment Evaluation (Promethee», International Journal of Engineering Science Invention, Volume 2 Issue 11, PP.28-34, 2013.

Zare, Mojtaba; Pahl, Christina; Rahnama, Hamed; Nilashi, Mehrbakhsh; Mardani, Abbas; Ibrahim, Othman; Ahmadi, Hossein, «Multi-criteria decision making approach in E-learning: A systematic review and classification», Elsevier, Vol. 45, p. 108 (21), 2016. DOI: https://doi.org/10.1016/j.asoc.2016.04.020

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How to Cite

[1]
Benmoussa, N., Elyamami, A., Mansouri, K., Qbadou, M. and Illoussamen, E. 2019. A Multi-Criteria Decision Making Approach for Enhancing University Accreditation Process. Engineering, Technology & Applied Science Research. 9, 1 (Feb. 2019), 3726–3733. DOI:https://doi.org/10.48084/etasr.2352.

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