ClaDia:用于疾病诊断的模糊分类系统

Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512) Pub Date : 2000-07-16 DOI:10.1109/CEC.2000.870821

D. Walter, C. K. Mohan

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引用次数: 49

摘要

本文描述了ClaDia，一个应用于威斯康星州乳腺癌数据集的学习分类器系统，使用规则的模糊表示，基于中位数的模糊组合规则，以及每个类别的单独子种群。对于多组系统参数值，系统实现了90%以上的分类率。

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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.

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Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)

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