Feature Selection and Rule Generation Integrated Learning for Takagi-Sugeno-Kang Fuzzy System and its Application in Medical Data Classification

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...

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Bibliographic Details
Main Authors: Xiaoqing Gu, Cong Zhang, Tongguang Ni
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Fuzzy system
feature selection
rule generation
Bayesian model
sequential importance resampling algorithm
Online Access:https://ieeexplore.ieee.org/document/8907879/

Internet

https://ieeexplore.ieee.org/document/8907879/

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