Selection and ranking of E-learning websites using weighted distance-based approximation

The propagation of the web applications as E-learning websites has produced new opportunities as well as new challenges for academic organizations and individuals who are either delivering or receiving an education. The E-learning websites has become more and more popular from the last few decades due to the great benefits provided by the concept of E-learning such as study at any time and any place. Now a day, a number of organizations have developed their website to deliver the skills and the knowledge in the field of education. The rapid increase in the use of E-learning leads to the problem of E-learning evaluation and selection. The evaluation of E-learning websites might be considered from the perspective of multi-criteria decision making (MCDM) problems. In this research, the problem of the E-learning websites evaluation and selection is modeled as a MCDM problem. Further, for the evaluation and selection of E-learning websites, weighted distance-based approximation (WDBA) method is proposed that has a number of significant advantages over the existing ones. To validate the proposed methodology, WDBA, a comparison with the existing methodology, namely technique for order preference by similarity to ideal solution is also provided.