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Breast Cancer Diagnosis Using Genetic Fuzzy Rule Based System | ||
| Journal of University of Babylon | ||
| Article 1, Volume 21, Issue 4, 2013, Pages 1109-1120 | ||
| Authors | ||
| Hussein A.Lafta; Noor Kadhum Ayoob | ||
| Abstract | ||
| Breast cancer diagnosis (WBCD) is an important, real-world medical problem. There are different artificial Intelligence techniques try to classify WBCD to help to minimize the errors that might occur when the doctors do not have adequate experience or because of stress . In this work , fuzzy genetic tool is used to present diagnostic system that classify WBCD cases automatically .The system provides two prime features: first, it attain high classification performance ; second, the resulting system consists of a few simple rules, and are therefore interpretable. | ||
| Keywords | ||
| Fuzzy systems; Genetic algorithms; Breast cancer diagnosis; GFRBS | ||
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