A fuzzy ANP model for evaluating e-learning platform

Authors:
Soheil Sadi-Nezhad;Leila Etaati;Ahmad Makui
Affiliations:
Islamic Azad University, Science and Research Branch, Faculty of engineering, Department of systems & Industrial Engineering, Tehran, Iran;Islamic Azad University, Science and Research Branch, Faculty of engineering, Department of systems & Industrial Engineering, Tehran, Iran;Industrial Engineering Department, Iran University of Science and Technology, Tehran, Iran
Venue:
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Year:
2010

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Abstract

In recent past, there have been a great number of e-learning platforms, presented and used in various universities. Beside this there have been many efforts made to evaluate these systems which include a number of evaluation techniques and factors. However there may be some interrelations between these factors that must be considered during assessment. In this paper we present a Fuzzy Analytical Network Process (FANP) model for evaluating elearning systems which can help us assume dependencies between criteria. This ANP model is based on the criteria and sub-criteria which were introduced by previous researchers. Also interrelations between the factors are considered from their suggestions. Therefore for deriving preference ratio among decision makers and to reach a global argument among them, we use Group Fuzzy Preference Programming. Finally we will show the general assessment techniques and some obtained results using our model to evaluate the three existing elearning platforms which are employed in some universities and compare the results of ANP and AHP models.