Information-theoretic measures of uncertainty for rough sets and rough relational databases

被引：195

作者：

Beaubouef, T

Petry, FE ^{[1
]}

Arora, G

机构：

[1] Xavier Univ, Dept Comp Sci, New Orleans, LA 70125 USA

[2] Tulane Univ, Dept Elect Engn & Comp Sci, Ctr Intelligent & Knowledge Based Syst, New Orleans, LA 70118 USA

[3] Xavier Univ, Dept Math, New Orleans, LA 70125 USA

来源：

INFORMATION SCIENCES | 1998年 / 109卷 / 1-4期

关键词：

rough sets; relational databases; information theory; entropy; uncertainty;

D O I：

10.1016/S0020-0255(98)00019-X

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Rough set theory has become well-established as a mechanism for uncertainty management in a wide variety of applications including databases. This paper addresses the measurement of uncertainty in rough sets and rough relational databases by introducing a measurement based on information theory. This rough entropy is discussed as it applies to rough sets in general, and in particular to aspects of the rough relational database model. (C) 1998 Elsevier Science Inc. All rights reserved.

引用

页码：185 / 195

页数：11

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