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Original Articles

A hybrid MCDM approach to assess the sustainability of students’ preferences for university selection

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Pages 391-418 | Received 03 Dec 2011, Accepted 17 Nov 2012, Published online: 11 Aug 2014
 

Abstract

Selection of the most suitable university among many alternatives is a multi-criteria decision making (MCDM) problem. In this paper, an integrated approach which employs analytic network process (ANP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, is proposed for this problem. By the way, the paper is concerned with criteria influencing student choice in Turkey to establish if there is any need in developing a multi-criteria model for predicting students’ preference for universities. The ANP is used to analyse the structure of the university selection problem and to determine weights of the criteria, and the PROMETHEE method is used to obtain final ranking, and to make a sensitivity analysis by changing the weights for criteria. The results indicate that three factors, future career prospects and opportunities, scholarship and university's social life at the top in the university selection.

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Additional information

Notes on contributors

Mehmet Kabak

Mehmet KABAK received his Master's Degree (Defense Technologies) from Istanbul Technical University and PhD (Operations Research) from the University of Marmara, in 2001 and 2005 respectively. Currently, he is an Assoc. Professor affiliated to the Department of Industrial and System Engineering, Turkish Military Academy, Ankara, Turkey. His research areas include resource optimization, energy, strategic management, multi attribute decision making, fuzzy logic, etc.

Metin Dağdeviren

Metin DAĞDEVIREN received his Doctoral Degree (Industrial Engineering) from Gazi University, Turkey, in 2005. Currently, he is an Assoc. Professor and the Vice Dean of the Faculty of Engineering. His research areas include work study, human resource management, multi attribute decision making, strategic management, fuzzy logic, etc.

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