A Broad TSK Fuzzy Classifier with a Simplified Set of Fuzzy Rules for Class-Imbalanced Learning

With the expansion of data scale and diversity, the issue of class imbalance has become increasingly salient. The current methods, including oversampling and under-sampling, exhibit limitations in handling complex data, leading to overfitting, loss of critical information, and insufficient interpret...

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書誌詳細

主要な著者:	Jinghong Zhang, Yingying Li, Bowen Liu, Hao Chen, Jie Zhou, Hualong Yu, Bin Qin
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-10-01
シリーズ:	Mathematics
主題:	TSK fuzzy classifiers fuzzy rule reduction weighted fuzzy rule broad ensemble learning class-imbalanced learning
オンライン･アクセス:	https://www.mdpi.com/2227-7390/11/20/4284
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