Prioritizing e-learning websites evaluation and selection criteria using fuzzy set theory

Abstract

E-learning websites evaluation and selection is extremely important for the establishment of effective 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 Elearning website selection along with various alternatives. So, for the effective evaluation and selection 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 relative importance of each selection criteria, they ranked according to their global weights.