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基于粗集理论证据加权的电子目标识别法
引用本文:严晓兰.基于粗集理论证据加权的电子目标识别法[J].现代防御技术,2011,39(4):75-79.
作者姓名:严晓兰
作者单位:电子工程学院,安徽合肥,230037
摘    要:在对电子目标进行识别时,往往采取多传感器融合的D2S证据理论进行处理,但是由于传统的D2S证据理论中各传感器对识别结果的重要性没有区分,基于此将粗集理论属性重要度概念应用到各传感器的重要性上,从而实现加权融合的证据理论。仿真实验及其结果表明该方法对电子目标识别是有效的,尤其在传感器受到干扰时,具有较强的现实意义。

关 键 词:电子目标识别  粗集  证据理论  属性重要度  基本概率赋值

Electronic Target Recognition Method of Evidence Weighted Based on Rough Set Theory
YAN Xiao-lan.Electronic Target Recognition Method of Evidence Weighted Based on Rough Set Theory[J].Modern Defence Technology,2011,39(4):75-79.
Authors:YAN Xiao-lan
Institution:YAN Xiao-lan(Electronic Engineering Institute,Anhui Hefei 230037,China)
Abstract:When recognizing of electronic targets,D-S evidence theory of multi-sensors amalgamation is usually applied to process these problems.But because the importance of every sensor to recognition result is not distinguished in common D-S evidence theory,the attribute importance of rough set theory is applied to every sensor to realize the weighted amalgamation evidence theory.Simulation experiment and its results show that this method is effective in electronic target recognition and of strong realistic meaning...
Keywords:electronic target recognition  rough set  evidence theory  attribute importance  basic probability assignment  
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