[1]伞 冶,叶玉玲.粗糙集理论及其在智能系统中的应用[J].智能系统学报,2007,2(2):40-47.
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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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第2期
页码:
40-47
栏目:
学术论文—智能系统
出版日期:
2007-04-25
- Title:
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Rough set theory and its application in the intelligent systems
- 文章编号:
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1673-4785(2007)02-0040-08
- 作者:
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伞 冶,叶玉玲
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哈尔滨工业大学控制与仿真中心,黑龙江哈尔滨150080
- Author(s):
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SAN Ye, YE Yu-ling
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Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, C hina
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- 关键词:
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粗糙集; 属性约简; 智能系统; 粗糙神经网络
- Keywords:
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rough set; attribute reduction; intelligent system; rough neural network
- 分类号:
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TP18
- 文献标志码:
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A
- 摘要:
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粗糙集理论是一种新型的处理含糊和不确定知识的数学工具,在智能系统中得到了广泛的应用.介绍了经典粗糙集理论的基本思想,上下近似集、属性约简和核等基本概念以及粗糙集的研究现状.介绍了粗糙集理论在智能系统中的应用,主要包括基于粗糙集理论的属性约简作为数据预处理的手段,基于粗糙集理论的相关性分析和基于粗糙集理论的系统建模和控制.指出了粗糙集理论在应用中遇到的问题和可能的研究方向.
- Abstract:
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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.
更新日期/Last Update:
2009-05-06