Research Progress of Attribute Reduction Based on Rough Sets
Lihua Hu · Computer Engineering and Science · 2010
The rough set theory is a mathematical tool which deals with uncertain,imprecise and incomplete data.It is used widely in artificial intelligence,pattern recognition,data mining,intelligent decision-making and other application fields.Attribute reduction is one of the core issues of the rough set theory and it has become a hot topic of the rough set theory research.This paper briefly describes some recent advancement in the study of attribute reduction algorithms both at home and abroad,focusing on generalizing and analysing the mainstream methods of attribute reduction.Finally the paper discusses the future trend of attribute reduction research.