文章基本信息

标题：Prioritizing e-learning websites evaluation and selection criteria using fuzzy set theory
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作者：Rakesh Garg ; Dimpal Jain
期刊名称：Management Science Letters
印刷版ISSN：1923-9335
电子版ISSN：1923-9343
出版年度：2017
卷号：7
期号：4
页码：177-184
DOI：10.5267/j.msl.2017.1.002
出版社：Growing Science
摘要：E-learning websites evaluation and selection is extremely important for the establishment of ef-fective E-learning. The E-learning website selection has crucial importance for the educational sector. The selection of E-learning website problem is generally considered as a Multi-Criteria Decision Making (MCDM) problem which mainly consists of both qualitative and quantitative criteria. The development of an E-learning website mainly depends on the success of the E-learning website selection along with various alternatives. So, for the effective evaluation and se-lection of E-learning websites, a set of selection criteria should be obtained. This paper consists of two steps, the first step is the identification of E-learning website selection criteria, second step provides the linguistic variables against the selection criteria and then fuzzy set theory (FST) is adopted for the calculation of the priority weights of each selection criteria. To show the rela-tive importance of each selection criteria, they ranked according to their global weights.
关键词：Selection criteria; Multi-criteria decision making (MCDM); Fuzzy set theory (FST)