A Fuzzy ANP Model for Evaluating E-Learning Platform

被引:0
|
作者
Sadi-Nezhad, Soheil [1 ]
Etaati, Leila [1 ]
Makui, Ahmad [2 ]
机构
[1] Islamic Azad Univ, Sci & Res Branch, Fac Engn, Dept Syst & Ind Engn, Tehran, Iran
[2] Iran Univ Sci & Technol, Ind Engn Dept, Tehran, Iran
关键词
Fuzzy ANP; Evaluation E-Learning systems; CRITICAL SUCCESS FACTORS; WEB; SATISFACTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 he 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 Jesuits using our model to evaluate the three existing e-learning platforms which are employed in sonic universities and compare the results of ANP and AHP models
引用
收藏
页码:254 / +
页数:3
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