Abstract:
The paper describes ClaDia, a learning classifier system applied to the Wisconsin breast cancer data set, using a fuzzy representation of the rules, a median based fuzzy ...Show MoreMetadata
Abstract:
The paper describes ClaDia, a learning classifier system applied to the Wisconsin breast cancer data set, using a fuzzy representation of the rules, a median based fuzzy combination rule, and separate subpopulations for each class. The system achieves a classification rate of over 90%, for many sets of system parameter values.
Published in: Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)
Date of Conference: 16-19 July 2000
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-6375-2
