论文信息 - ClaDia: a fuzzy classifier system for disease diagnosis

ClaDia: a fuzzy classifier system for disease diagnosis

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.

C. K. Mohan | D. Walter

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