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一种新的基于粗糙集的连续属性离散化算法
引用本文:衣晓,关欣,何友.一种新的基于粗糙集的连续属性离散化算法[J].火力与指挥控制,2009,34(12).
作者姓名:衣晓  关欣  何友
作者单位:海军航空工程学院信息融合技术研究所,山东,烟台,264001
基金项目:国家自然科学基金,全国优秀博士论文作者专项基金资助项目 
摘    要:粗糙集理论作为一种新的处理含糊和不确定性问题的数学工具,已成为国际学术界的一个前沿的研究领域.传统的粗糙集理论只能对数据库中的离散属性进行处理,而绝大多数现实的数据库既包含了离散属性,又包含了连续属性.针对传统粗糙集理论的这一缺陷,提出了一种改进的基于断点重要性的属性离散化方法.最后,通过实例分析说明该方法是有效的.

关 键 词:粗糙集  离散化  决策表

A New Algorithm for the Discretization of Continuous Attributes based on Rough Set
YI Xiao,GUAN Xin,HE You.A New Algorithm for the Discretization of Continuous Attributes based on Rough Set[J].Fire Control & Command Control,2009,34(12).
Authors:YI Xiao  GUAN Xin  HE You
Abstract:Rough set theory is a relatively new soft computing tool to deal with vagueness and uncertainty, and is regarded as a field of leading edge. Rough set theory is deeply studied in this paper. An improved attribute discretization method is presented in this paper. At last, examples of recognizing the emitter purpose are selected to demonstrate this new method. Experimental results show that the performance of this new method is accurate and effective.
Keywords:rough set  discretization  decision table
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