Title: Data envelopment analysis based comparison of two hybrid multi-criteria decision-making approaches for mobile phone selection: a case study in Iranian telecommunication environment

Authors: Iraj Mahdavi, Hamed Fazlollahtabar, Ellieh Mozaffari, Morvarid Heidari, Nezam Mahdavi-Amiri

Addresses: Department of Industrial Engineering, Mazandaran University of Science and Technology, PO Box 734, Babol 47166-85635, Iran. ' Department of Industrial Engineering, Mazandaran University of Science and Technology, PO Box 734, Babol 47166-85635, Iran. ' Department of Industrial Engineering, Mazandaran University of Science and Technology, PO Box 734, Babol 47166-85635, Iran. ' Department of Industrial Engineering, Mazandaran University of Science and Technology, PO Box 734, Babol 47166-85635, Iran. ' Faculty of Mathematical Sciences, Sharif University of Technology, PO Box 11365-8639, Tehran, Iran

Abstract: The arrival of the mobile phone and its rapid and widespread growth may well be seen as one of the most significant developments in the fields of communication and information technology over the past two decades. The aim of this study is to compare two hybrid multi-criteria decision-making (MCDM) approaches to evaluate the mobile phone options with respect to user|s preferences. Firstly, we identify the most desirable features influencing the choice of a mobile phone. This is realised through a survey conducted among the target group, the experiences of the telecommunication sector experts and the studies in the literature. Secondly, two MCDM methods are used in the evaluation procedure. More precisely, two hybrid methods |analytic hierarchy process-voting analytic hierarchy process (AHP-VAHP) and AHP-entropy-technique for order preference by similarity to ideal solution (TOPSIS)| are compared in ranking the mobile phone alternatives. A case study is made at a telecommunication centre in Iran to investigate both techniques. Considering the same ranking of the two methods, the numerical results are evaluated using data envelopment analysis to identify the most beneficial method.

Keywords: analytical hierarchy process; DEA; data envelopment analysis; entropy; MCDM; multi-criteria decision making; TOPSIS; user preference; VAHP; voting AHP; Iran; telecommunications; mobile phones; cell phones; user preferences; mobile phone options; mobile phone choice.

DOI: 10.1504/IJIDS.2008.022295

International Journal of Information and Decision Sciences, 2008 Vol.1 No.2, pp.194 - 220

Published online: 27 Dec 2008 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article