Title :
Method and software for extracting fuzzy classification rules by subtractive clustering
Author_Institution :
Sci. Center, Rockwell Int. Corp., Thousand Oaks, CA, USA
Abstract :
We present a fast and robust method for extracting fuzzy classification rules from data. The method uses subtractive clustering to obtain the initial rules; the rule parameters are then optimized by using an efficient gradient-descent algorithm. We also describe a user-friendly Apple Macintosh software package called RIFLEX (Rockwell International Fuzzy Logic EXplorer), in which this rule extraction method has been implemented
Keywords :
Apple computers; function approximation; fuzzy logic; mathematics computing; microcomputer applications; optimisation; pattern classification; RIFLEX; Rockwell International Fuzzy Logic Explorer; fuzzy classification rule extraction method; gradient-descent algorithm; rule parameter optimization; subtractive clustering; user-friendly Apple Macintosh software package; Clustering algorithms; Clustering methods; Data mining; Function approximation; Fuzzy logic; Fuzzy neural networks; Neural networks; Optimization methods; Pattern classification; Robustness;
Conference_Titel :
Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American
Conference_Location :
Berkeley, CA
Print_ISBN :
0-7803-3225-3
DOI :
10.1109/NAFIPS.1996.534778
