Selecting The Optimal E-Learning Platform for Universities: A Pythagorean Fuzzy AHP/TOPSIS Evaluation

Abstract

As a result of global epidemics and threats, higher education began to widely use e-learning platforms. With the proliferation of online learning in higher education, a systematic and rigorous approach is needed for universities to make informed decisions when selecting e-learning platforms. Presenting a Pythagorean fuzzy hybrid multi-criteria decision-making strategy that aids in solving this challenge is the study's goal. This study presents a comprehensive analysis of four prominent e-learning platforms - Google Meet, Microsoft Teams, Skype, and Zoom - utilizing the Pythagorean Fuzzy Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies. By structuring and prioritizing a range of criteria using the Pythagorean Fuzzy AHP model, the study establishes a well-defined framework for the assessment process. Subsequently, the Pythagorean Fuzzy TOPSIS method is applied to rank these platforms based on their overall performance against the identified criteria. The outcomes of this research enable universities to tailor their e-learning platform selection to the unique requirements of their educational programs, ultimately promoting enhanced engagement, accessibility, and learning outcomes for both students and faculty.