摘要
连续属性离散化是粗集理论应用中面临的主要问题之一。对连续数据知识挖掘可采用模糊C均值聚类将其离散化,再应用粗集理论将其属性进行约简提取有用规则。将此方法应用于雷达信号类型识别,可以直接从原始数据中得到识别信息,仿真实验结果证明利用此离散化方法得到的识别规则对雷达信号识别是有效和可靠的。
The discretization of continuous attributes is one of the most main problems in applying of rough set theory.For continuous data knowledge mining,FCM clustering is used to disperse continuous data to discrete variables for rough set to deal with and extract useful rules.This method which can get recognition information directly from original data can be applied to radar signal s sort recognition,and the simulation experiment and its results show that the recognition rules which come from this discretization...
出处
《现代防御技术》
北大核心
2008年第4期103-106,115,共5页
Modern Defence Technology
基金
总装武器装备预研基金项目(51435020105JB3901)
