v1.1

🚀 Version 1.1 -

This release introduces a fuzzy logic-based intelligent grading system designed for adaptive student performance evaluation. The system leverages fuzzy inference mechanisms to transform numerical exam scores into linguistic categories, providing a fairer and more flexible grading approach compared to traditional fixed-threshold methods.

🔹 Key Features:

✅ Fuzzy Inference System (FIS) for grade classification
✅ Triangular & Trapezoidal Membership Functions for adaptive evaluation
✅ Expert-defined fuzzy rules for precise student assessment
✅ Python-based implementation for easy customization
✅ Scalable for various grading policies

Fuzzy Logic-Based Intelligent Grading System: A Flexible Approach to Student Performance Evaluation

🚀 Version 1.0 - Initial Release

This release introduces a fuzzy logic-based intelligent grading system designed for adaptive student performance evaluation. The system leverages fuzzy inference mechanisms to transform numerical exam scores into linguistic categories, providing a fairer and more flexible grading approach compared to traditional fixed-threshold methods.

🔹 Key Features:

✅ Fuzzy Inference System (FIS) for grade classification
✅ Triangular & Trapezoidal Membership Functions for adaptive evaluation
✅ Expert-defined fuzzy rules for precise student assessment
✅ Python-based implementation for easy customization
✅ Scalable for various grading policies