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 e-learning 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 e-learning platforms which are employed in some universities and compare the results of ANP and AHP models.
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Sadi-Nezhad, S., Etaati, L., Makui, A. (2010). A Fuzzy ANP Model for Evaluating E-Learning Platform. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13022-9_26
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DOI: https://doi.org/10.1007/978-3-642-13022-9_26
Publisher Name: Springer, Berlin, Heidelberg
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