ClaDia: a fuzzy classifier system for disease diagnosis
Debbie Walter, Chilukuri Krishna Mohan · 2002
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.