| 粗糙集理论及其在智能系统中的应用 |
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| 引用本文： | 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. |
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| 作者姓名： | 伞冶 叶玉玲 |
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| 作者单位： | 哈尔滨工业大学,控制与仿真中心,黑龙江,哈尔滨,150080 |
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| 基金项目： | 国家自然科学基金资助项目（60474069）. |
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| 摘 要： | 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。
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| 关 键 词： | 粗糙集 属性约简 智能系统 粗糙神经网络 |
| 文章编号： | 1673-4785（2007）02-0040-08 |
| 修稿时间： | 2006-11-09 |
Rough set theory and its application in the intelligent systems |
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| SAN Ye,YE Yu-ling.Rough set theory and its application in the intelligent systems[J].CAAL Transactions on Intelligent Systems,2007,2(2):40-47. |
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| Authors: | SAN Ye YE Yu-ling |
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| Affiliation: | Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China |
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| Abstract: | The rough set theory is a new mathematical tool to study vague and uncertain information, and is widely used in intelligent systems. In this paper, the 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 theory are also presented. Then the application of rough set theory in intelligent systems is explored, mainly including data preprocessing method by using attribute reduction based on rough set theory, analysis of cor- relations between attributes and system, modeling and control. Finally, the difficulties and possible fields for the application of rough set theory are discussed. |
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| Keywords: | rough set attribute reduction intelligent system rough neural network rough set attribute reduction intelligent system rough neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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