[1]SAN Ye,YE Yu-ling.Rough set theory and its application in the intelligent systems[J].CAAI Transactions on Intelligent Systems,2007,2(2):40-47.
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Rough set theory and its application in the intelligent systems

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 2 Number of periods: 2007 2 Page number: 40-47 Column: 学术论文—智能系统 Public date: 2007-04-25
Title:
Rough set theory and its application in the intelligent systems
Author(s):
SAN Ye;  YE Yu-ling
Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, C hina
Keywords:
rough set;  attribute reduction;  intelligent system;  rough neural network
CLC:
TP18
DOI:
-
Abstract:
The rough set theory is a new mathematical tool to study vague and unc ertain information, and is widely used in intelligent systems. In this paper, th e basic ideas of rough set theory are introduced,and the notion of up and low approximation sets, attribute reduction, core and some extensions of rough set t heory are also presented. Then the application of rough set theory in intelligen t systems is explored, mainly including data preprocessing method by using attri bute reduction based on rough set theory, analysis of correlations between attri butes and system, modeling and control. Finally, the difficulties and possible f ields for the application of rough set theory are discussed. 
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