Inclusion degree: a perspective on measures for rough set data analysis
Information SciencesPublished 1 April 2002
Zhitao Xu, Jiye Liang, Chuangyin Dang, Kwai‐Sang Chin
Citations90
SJR quartileQ1
SJR score1.80
SNIP1.98
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TL;DR
This paper introduces a concept of inclusion degree into rough set theory and establishes several important relationships between the inclusion degree and measures on rough set data analysis.
Abstract
Rough set data analysis is one of the main application techniques arising from rough set theory. In this paper we introduce a concept of inclusion degree into rough set theory and establish several important relationships between the inclusion degree and measures on rough set data analysis. It is shown that the measures on rough set data analysis can be reduced to the inclusion degree.
Keywords
Computer Science
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