| 粗糙集理论及其应用综述 |
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| 引用本文： | 韩祯祥,张琦,文福拴.粗糙集理论及其应用综述[J].控制理论与应用,1999,16(2):153-157. |
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| 作者姓名： | 韩祯祥 张琦 文福拴 |
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| 作者单位： | 浙江大学电机系,杭州,310027 |
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| 基金项目： | 国家自然科学基金资助项目! ( 5 97770 11) |
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| 摘 要： | 粗糙集理论是一种较新的软计算方法，可以有效地分析和处理不完备信息，该理论近日益受到国际学术届的重视，已经在模式识别，机器学习，决策支持，过程控制，预测建模等许多科学与工程领域得到成功的应用，本文介绍了粗糙集理论的基本概念，对其在各领域的应用情况进行了综述。
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| 关 键 词： | 粗糙集 不确定性 数据分析 软计算 粗糙控制 |
| 收稿时间： | 9/3/1997 12:00:00 AM |
A Survey on Rough Set Theory and Its Application |
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| Han Zhenxiang,Zhang Qi and Wen Fushuan.A Survey on Rough Set Theory and Its Application[J].Control Theory & Applications,1999,16(2):153-157. |
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| Authors: | Han Zhenxiang Zhang Qi and Wen Fushuan |
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| Abstract: | Rough set theory is a relatively new soft computingtool to deal with vagueness and uncertainty.It has received much attention of the researchers around the world.Rough set theory has been applied to many areas successfully including pattern recognition,machine learning,decision support, process control and predictive modeling.This paper introduces the basic concepts of rough set.A survey on its applicatoins is also given. |
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| Keywords: | rough set uncertainty data analysis soft computing rough control |
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