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...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Jinghong Zhang, Yingying Li, Bowen Liu, Hao Chen, Jie Zhou, Hualong Yu, Bin Qin
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2023-10-01
סדרה:	Mathematics
נושאים:	TSK fuzzy classifiers fuzzy rule reduction weighted fuzzy rule broad ensemble learning class-imbalanced learning
גישה מקוונת:	https://www.mdpi.com/2227-7390/11/20/4284
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!