User Guide

The Ex-Fuzzy User Guide provides comprehensive documentation for all aspects of building, training, and analyzing fuzzy rule-based classifiers.

Core Concepts

• Core Concepts
  • What is Fuzzy Logic?
  • Fuzzy Sets
  • Linguistic Variables
  • Fuzzy Rules
  • Fuzzy Inference Systems
  • Rule Learning and Optimization
  • Interpretability and Explainability
  • Common Patterns and Best Practices
  • Next Steps
• Rule Mining Guide
  • Overview
  • Getting Started
  • Mining Parameters
  • Advanced Mining Techniques
  • Rule Quality Assessment
  • Visualization and Analysis
  • Integration with Classifiers
  • Large Dataset Strategies
  • Best Practices
  • Next Steps

Overview

This user guide is organized into several sections:

Core Concepts

Learn about the fundamental building blocks of Ex-Fuzzy: fuzzy sets, classifiers, and optimization algorithms.

Advanced Topics

Explore advanced features like pattern stability analysis, visualization techniques, and performance optimization.

Practical Guides

Get practical advice on best practices, troubleshooting common issues, and extending Ex-Fuzzy for your needs.

Getting Help

If you can’t find what you’re looking for in this guide:

• Check the Examples for practical examples

• Consult the API Reference for detailed API documentation

• Ask questions on our GitHub Discussions

• Report bugs on our Issue Tracker