Fuzzy Logic Modeling for Student Evaluation Systems

Abstract

Student evaluation plays a crucial role in academic institutions for assessing learning outcomes and overall performance. Traditional evaluation methods often rely on rigid grading systems that may not accurately represent a student's capabilities. Fuzzy Logic provides an effective alternative by handling uncertainty and imprecision in academic assessment. This paper presents a fuzzy logic-based student evaluation system that considers multiple performance parameters such as attendance, assignment scores, internal assessments, and examination marks. The proposed model uses linguistic variables and fuzzy inference rules to generate a comprehensive performance score. Experimental analysis demonstrates that the fuzzy logic approach provides more realistic and flexible evaluations compared to conventional grading methods.