FAIM: Fuzzy-Neutrosophic Academic Integrity Model for University Students

Abstract

The FAIM (Fuzzy-Neutrosophic Academic Integrity Model) is a novel approach developed to assess academic integrity among university students under conditions of uncertainty. This model emerged as a response to the challenges posed by the sudden shift from face-to-face to virtual education during the COVID-19 pandemic. This environment saw a notable increase in dishonest academic behavior. FAIM integrates fuzzy logic and neutrosophic reasoning to capture the complexity and indeterminacy of students’ conduct. Key variables associated with academic dishonesty—motivation, justification, and opportunities—were examined across three simulated scenarios. The results validated FAIM’s capacity to differentiate integrity levels within the student population effectively. Unlike traditional models, FAIM adapts to ambiguous behavioral patterns and provides nuanced insights. It represents a valuable decision-support tool for academic institutions aiming to promote ethical conduct. This research highlights how hybrid intelligent models can redefine integrity assessment in higher education.