Selection and Ranking of E-Learning Websites using MCDM based EDAS Technique
Keywords:
E-Learning websites, Shannon Entropy, Weighted Evaluation based on Distance from Average Solution (W-EDAS), Selection & Ranking, MCDMAbstract
This study assesses and orders E-learning websites using predefined evaluation criteria. Employing MCDM methodology, it ranks these websites based on divergent assessment indices. The task of selecting E-learning platforms is tackled using Weighted-Evaluation based on Distance from Average Solution (W-EDAS), a MCDM algorithm tailored for such challenges. To validate its effectiveness, the results obtained from this method are compared with those from established approaches like Fuzzy COPRAS. Importantly, the proposed methodology has not been previously utilized to evaluate, select, and rank various E-learning websites.
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