AI-Driven Type-2 Fuzzy MCDM Approach for Evaluating Students' Academic Performance

Abstract

In this study, a quantitative survey was conducted among college students in Karnataka, India, and the collected data were evaluated by subject-moatter experts with mre than 55 years of combined teaching experience. Four primary criteria C1 - Family Concern, C2 - Environment of Study, C3 - Resources, C4 - Time Management, and C5 - Lecturer Concern, were analyzed using an interval type-2  Fuzzy Analytic Hierarchy Process (FAHP). The results reveal that Academic Pressure is the most influential factor affecting student outcomes. These findings highlight the need for effective stress-management strategies, including sports participation and yoga-based interventions, to promote student well-being and improve academic performance.