ARCHIVES
Original Article
Evaluating Student Academic Performance Through a Benchmark of Fuzzy Reasoning Models
Patel Jayeshkumar1
Arun Udayasuriyan2
1 Parul Institute of Computer Applications, Parul University, Gujarat, India. 2 Assistant Professor, Department of MCA, Faculty of IT & CS, Parul University, Gujarat, India.
Published Online: January-February 2026
Pages: 39-42
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260701004
Abstract
This study examines and compares Mamdani, Sugeno, and ANFIS fuzzy reasoning models for evaluating student academic performance using a bench marking framework where the same inputs, membership functions, and evaluation metrics were applied across the models.
Related Articles
2026
AI-Based Stomach Cancer Detection Using Biomarkers, Medical Images, and Voice Analysis
2026
Hydrogen-Efficient Eco-Driving and Route Planning for Fuel-Cell Electric Vehicles Using Multi-Objective Optimization Under Traffic and Terrain Uncertainty
2026
A Data-Driven Machine Learning Framework for Assessing Patent Commercial Value and Technological Significance
2026
A Hybrid Soft Computing Approach for Managing Uncertainty in Data Analytics
2026
Soft Computing Approaches for Robust Analysis of Imbalanced and Noisy Data
2026
