4 papers
GAdaBoost: An Efficient and Robust AdaBoost Algorithm Based on Granular-Ball Structure
Qin Xie, Qinghua Zhang, Shuyin Xia +2
Adaptive Boosting (AdaBoost) faces significant challenges posed by label noise, especially in multiclass classification tasks. Existing methods either lack mechanisms to handle lab…
Approximate Borderline Sampling using Granular-Ball for Classification Tasks
Qin Xie, Qinghua Zhang, Shuyin Xia
Data sampling enhances classifier efficiency and robustness through data compression and quality improvement. Recently, the sampling method based on granular-ball (GB) has shown pr…
GBG++: A Fast and Stable Granular Ball Generation Method for Classification
Qin Xie, Qinghua Zhang, Shuyin Xia +4
Granular ball computing (GBC), as an efficient, robust, and scalable learning method, has become a popular research topic of granular computing. GBC includes two stages: granular b…
Sequential three-way group decision-making for double hierarchy hesitant fuzzy linguistic term set
Nanfang Luo, Qinghua Zhang, Qin Xie +3
Group decision-making (GDM) characterized by complexity and uncertainty is an essential part of various life scenarios. Most existing researches lack tools to fuse information quic…