e-Learning Platform Ranking Method using a Symbolic Approach based on Preference Relations.

e-Learning platforms are of a great help in teaching and learning fields given their ability to improve training activity quality. Subsequently, several e-Learning systems have been developed in many domains. The diversity of such platforms in a single field makes it arduous to select the optimal platform in terms of tools and services that meet users’ requirements. Therefore, we propose in this paper a ranking approach of e-Learning platforms relying on symbolic values, borrowed from the Qualitative Weight and Sum method (QWS) (Stufflebeam, 1994), preference relations and aggregating operators providing a total order among the considered e-Learning platforms.