Feature Selection and Rule Generation Integrated Learning for Takagi-Sugeno-Kang Fuzzy System and its Application in Medical Data Classification
The rule-based fuzzy systems have successfully applied for numerous medical data classification problems.However, structuring the concise and interpretable fuzzy rules with good classification performance is still a big challenge.To address this issue, a novel feature selection and rule generation integrated learning for Takagi-Sugeno-Kang HEALTHY