摘要
为解决辐射源识别的问题,研究利用变精度粗糙集模型来确定辐射源识别特征权值的方法。由概念的正域中对象类的条件属性的描述,得到该概念的充分条件,并依据知识间的依赖性作为所要考虑的因素来获取特征权值,同时结合模糊集理论,提出一种基于变精度粗集特征加权的辐射源模糊识别方法。最后将此识别方法模型应用于雷达辐射源用途识别,仿真实验及其结果验证了该方法的可行性和有效性。
In order to solve the problem of emitter recognition, the method of feature weights setting by using variable precision rough set model （VPRSM） is investigated. The description of object class＇ condition attribute in conception positive region is used to attain the plenary condition of this conception and the weights of feature parameters in emitter recognition are achieved by the dependences between knowledge. Simultaneously, the fuzzy theory is combined to form an emitter fuzzy recognition method based on feature weight by VPRSM. Finally, this method is applied in radar emitter recognition. Simulation results show that the method is feasible and effective.
出处
《现代防御技术》
北大核心
2011年第1期120-124,共5页
Modern Defence Technology
关键词
变精度粗糙集模型
决策规则
特征权值
模糊集
辐射源识别
variable precision rough set model
decision rule
feature weight
fuzzy set
emitter recognition
