Hybrid Fuzzy Delphi and AHP Method for Evaluating Multi-Criteria ofFactors Affecting Student Graduation

Abstract

There are many interconnected factors that affect a student's ability to graduate, such as their academic success as well as psychological, social, and institutional factors. Finding and ranking these factors is important for raising the level of higher education and lowering the number of students who drop out. This research suggests a mixed method that combines the Fuzzy Delphi Method (FDM) and the Analytic Hierarchy Process (AHP) to look at many things that affect a student's graduation. The FDM is used to sort and confirm expert views about important criteria, which makes expert judgments less subjective and uncertain. Following this, AHP is used to organize and rank the factors by comparing them pairwise. The hybrid method makes it possible to find the most important factors that affect graduation in a planned way. The results show that the most important factors are academic success, student motivation, financial stability, and institutional support. The suggested hybrid framework gives policymakers a strong tool for making decisions about policies and strategies to help

students.