Automatic Fuzzy Rule Extraction from Data

This program was custom-developed to automatically extract fuzzy rules from data, enabling more efficient data analysis. The package primarily contains a main program alongside several specialized functions that implement automated fuzzy rule extraction using clustering algorithms and machine learning techniques. These functions are designed to intelligently merge and optimize fuzzy rules through computational methods like rule similarity measurement and redundancy reduction, ensuring better adaptation to real-world datasets. Additionally, the program incorporates supplementary features including data visualization modules for rule pattern analysis and automated report generation capabilities for result documentation. These features assist users in comprehensively understanding and analyzing data patterns. In summary, this program serves as a practical analytical tool that helps users maximize data utilization and extract greater value through systematic fuzzy rule extraction methodologies.