Attribute reduction in decision-theoretic rough set models based on positive region vector
HUANG Guoshun
Abstract：In the decision-theoretic rough set model,the existing positive region at the level of classification is integrated by union.However,the attribute reduction based on this method is not consistent with that based on discernibility matrix.This paper analyzes the reason in depth and proposes an attribute reduction based on positive region vector.It is proved that the positive region vector preservation is consistent with the results obtained by discernibility matrix method.Finally,an example is given to illustrate their consistency.
Keywords：decision-theoretic rough set modelspositive region vectorattribute reductiondiscernibility matrix
Publication Date：2024-05-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 14-19 )