Fuzzy Decision Trees for Small Data Analysis: Interpretable Learning From Limited Samples

Machine learning with small datasets presents well-known challenges, including overfitting and unreliable estimates. While fuzzy logic provides a framework for handling uncertainty, existing approaches often require manual tuning and lack integrated mechanisms optimized for small datasets. To addres...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Jan Rabcan, Vitaly Levashenko, Elena Zaitseva, Miroslav Kvassay
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2026-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Classification fuzzy logic decision trees machine learning pattern recognition
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11403953/
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