Assessment of Academic Integrity in University Students Using a Hybrid Fuzzy-Neutrosophic Model under Uncertainty

Abstract

This study presents a model based on a fuzzy-neutrosophic approach to evaluate the academic integrity of university students in the context of uncertainty. The central issue of the research lies in the abrupt transition from in-person education to virtual learning caused by the pandemic, which increased fraudulent behaviors in teaching and learning environments, making it difficult to determine the level of academic integrity among students in higher education institutions. To address this issue, variables related to dishonesty—motivation, justification, and opportunities—were analyzed. Three evaluation scenarios were conducted, yielding positive results. The proposed approach, based on fuzzy logic and neutrosophy, effectively measured the academic integrity of students, providing a valuable tool for decision-making by experts in the educational field.