An Attribute Reduction Algorithm Based on Relative Information Granularity
SUN Jing
Abstract：In order to find reduction in decision information system,on the basis of the existent reduction algorithm and granu?lar computing theory,this paper depicts knowledge by using information granular base from two aspects:semantic and grammar. Then,attribute sets＇granulating ability is measured by relative information granularity and this paper gives an attribute reduction al?gorithm based on relative information granularity. Finally,experimental results verify the effectiveness of this algorithm.
Keywords：granular computing theoryrelative information granularityattribute reduction
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：4( 1576-1578,1600 )