Inclusion degree: A perspective on measures for rough set data analysis

Z. B. Xu; J. Y. Liang; C. Y. Dang; K. S. Chin

doi:10.1016/S0020-0255(02)00174-3

Inclusion degree: A perspective on measures for rough set data analysis

Z. B. Xu
, J. Y. Liang
, C. Y. Dang
, K. S. Chin

School of Mathematics and Statistics

Research output: Contribution to journal › Article › peer-review

89 Scopus citations

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.

Original language	English
Pages (from-to)	227-236
Number of pages	10
Journal	Information Sciences
Volume	141
Issue number	3-4
DOIs	https://doi.org/10.1016/S0020-0255(02)00174-3
State	Published - Apr 2002

Keywords

Data analysis
Inclusion degree
Measure
Rough sets

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10.1016/S0020-0255(02)00174-3

Cite this

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title = "Inclusion degree: A perspective on measures for 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 = "Data analysis, Inclusion degree, Measure, Rough sets",

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year = "2002",

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T2 - A perspective on measures for rough set data analysis

AU - Xu, Z. B.

AU - Liang, J. Y.

AU - Dang, C. Y.

AU - Chin, K. S.

PY - 2002/4

Y1 - 2002/4

N2 - 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.

AB - 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.

KW - Data analysis

KW - Inclusion degree

KW - Measure

KW - Rough sets

UR - https://www.scopus.com/pages/publications/0036530141

U2 - 10.1016/S0020-0255(02)00174-3

DO - 10.1016/S0020-0255(02)00174-3

M3 - 文章

AN - SCOPUS:0036530141

SN - 0020-0255

VL - 141

SP - 227

EP - 236

JO - Information Sciences

JF - Information Sciences

IS - 3-4

ER -

Inclusion degree: A perspective on measures for rough set data analysis

Abstract

Keywords

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