Fuzzy rough attribute reduction method based on dicernibility matrix
ZHAO Jinhuan
WANG Changzhong
Abstract：Constructing dicernibility matrix to attribute reduction is an effective method to reduce data di-mension. However, the limitation of dicernibility matrix constructed by classical rough set is that it is not suitable for continuous data, but only for discrete data. Therefore, in this paper, we study fuzzy rough attribute reduction model based on dicernibility matrix, and discuss the mathematical properties of the model, so an algorithm for at-tribute reduction of continuous data is proposed. The method is validated by an example.
Keywords：dicernibility matrixattribute reductionfuzzy rough set
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 146-151 )