不完备信息系统辐射源威胁等级判定
|
摘要
针对不完备信息系统条件下的辐射源威胁等级判定问题,提出了一种基于改进容差关系粗糙集(ITR-RS)的不完备信息系统辐射源威胁等级判定方法。该方法将粗糙集中的不完备信息系统理论引入辐射源威胁等级判定中,并构建一套完备的决策规则提取模型。此外,利用辨识矩阵实现对属性的约简,在降低系统所需处理数据量的同时,提高了算法的实时性;在容差关系粗糙集的基础上,提出一种改进的容差关系,在属性主、客权重相结合的基础上引入阈值来划分加权阈值容差类,得到更为合理、准确的决策规则。仿真试验及分析表明,与经典RS算法相比,所提算法的威胁等级判定正确率提高了23%,可用于信息系统不完备条件下的辐射源威胁等级判定。
Aiming at the problem of emitter threat grade evaluation in the condition of incomplete information system,an algorithm of emitter threat grade evaluation based on Improved Tolerance Relation of Rough Set( ITR-RS) is proposed. The incomplete information system of rough set is introduced into emitter threat grade evaluation,and then a complete rule induction model is built. In addition,discernibility matrix is used to reduce properties,the data volume and handing time. On the basis of tolerance relation of rough set,the algorithm is improved by the weights of attribute in which subjective weight is combined with objective weight,and then a more reasonable and accurate decision rule is obtained. Simulation experiments show that,compared with the classical algorithm of RS,the accuracy of emitter threat grade evaluation is promoted by 23%,and it is available to emitter threat grade evaluation in the condition of incomplete information system.
Aiming at the problem of emitter threat grade evaluation in the condition of incomplete information system,an algorithm of emitter threat grade evaluation based on Improved Tolerance Relation of Rough Set( ITR-RS) is proposed. The incomplete information system of rough set is introduced into emitter threat grade evaluation,and then a complete rule induction model is built. In addition,discernibility matrix is used to reduce properties,the data volume and handing time. On the basis of tolerance relation of rough set,the algorithm is improved by the weights of attribute in which subjective weight is combined with objective weight,and then a more reasonable and accurate decision rule is obtained. Simulation experiments show that,compared with the classical algorithm of RS,the accuracy of emitter threat grade evaluation is promoted by 23%,and it is available to emitter threat grade evaluation in the condition of incomplete information system.
引文
[1]王毅,刘三阳,张文,等.属性权重不确定的直觉模糊多属性决策的威胁评估方法[J].电子学报,2014,42(12):2509-2514.WANG Yi,LIU Sanyang,ZHANG Wen,et al.Threat assessment method with uncertain attribute weight based on intuitionistic fuzzy muli-attribute decision[J].Acta Electronica Sinica,2014,42(12):2509-2514.(in Chinese)
[2]陈洁钰,姚佩阳,王勃,等.基于结构熵和IGSO-BP算法的动态威胁评估[J].系统工程与电子技术,2015,37(5):1076-1083.CHEN Jieyu,YAO Peiyang,WANG Bo,et al.Dynamic threat assessment based on structure entropy and IGSO-BP algorithm[J].Journal of Systems Engineering and E-lectronics,2015,37(5):1076-1083.(in Chinese)
[3]武华,苏秀琴.基于群广义直觉模糊软集的空袭目标威胁评估方法[J].控制与决策,2015,30(8):1462-1468.WU Hua,SU Xiuqin.Threat assessment of aerial targets based on group generalized intuitionistic fuzzy soft sets[J].Control and Decision,2015,30(8):1462-1468.(in Chinese)
[4]关欣,孙迎丰,何友.不完备信息系统的辐射源识别方法研究[J].电子科技大学学报,2008,37(1):8-11.GUAN Xin,SUN Yingfeng,HE You.Study on emitter recognition to incomplete information system[J].Journal of University of Electronic Science and Technology of China,2008,37(1):8-11.(in Chinese)
[5]DUNTSCH L,GEDIGA G.Uncertainty measures of rough set prediction[J].Artificial Intelligence,1998,106(1):109-137.
[6]陈利安,肖明清,赵鑫.基于粗糙集与信息熵的不完备测试信息条件下故障诊断[J].振动与冲击,2012,31(22):24-28.CHEN Li'an,XIAO Mingqing,ZHAO Xin.Fault diagnosis under condition of incomplete test information based on rough set and information entropy[J].Journal of Vibration and Shock,2012,31(22):24-28.(in Chinese)
[7]马睿,刘文奇.基于集值信息系统的多粒度粗糙集[J].系统工程与电子技术,2014,36(5):920-925.MA Rui,LIU Wenqi.Multi-granulation rough set model based on set model based on set-valued information system[J].Systems Engineering and Electronics,2014,36(5):920-925.(in Chinese)
[8]曾玲,何普彦,付敏.不完备区间值信息系统的粗糙集约简算法[J].南京理工大学学报,2013,.37(4):524-529.ZENG Ling,HE Puyan,FU Min.Attribute reduction algorithm based on rough set in incomplete interval-valued information system[J].Journal of Nanjing University of Science and Technology,2013,37(4):524-529.(in Chinese)
[9]刘城霞,何华灿.广义相关性基础上的量化容差关系的改进[J].北京邮电大学学报,2015,38(5):28-32.LIU Chengxia,HE Huacan.An improvement on the valued tolerance relation based on the generalized correlativity[J].Journal of Beijing University of Posts and Telecommunications,2015,38(5):28-32.(in Chinese)
[10]QI Z F,HAN S,LI X.Applications of generalized rough set theory in evaluation index system of radar anti-jamming performance[J].Journal of Shanghai Jiaotong University,2016,21(2):151-158.
[11]曾玲,付敏,何普彦.双精度容差关系的粗糙集拓展模型及约简[J].江苏大学学报(自然科学版),2014,35(3):312-318.ZENG Ling,ZENG Min,HE Puyan.Extension rough set model and reduction of dual-variable precision tolerance relation[J].Journal of Jiangsu University(Natural Science Edition),2014,35(3):312-318.(in Chinese)
[12]翟永健,张宏.不完备信息系统中的优势关系多粒度粗糙集[J].南京理工大学学报,2012,36(1):66-72.ZHAI Yongjian,ZHANG Hong.Dominance-based multigranulation rough sets in incomplete information system[J].Journal of Nanjing University of Science and Technology,2012,36(1):66-72.(in Chinese)
[13]YANG Y L,TAI H X,SHI T.Weighting indicators of building energy efficiency assessment taking account of experts’priority[J].Journal of Central South University,2012,19(3):803-808.
[14]郭辉,徐浩军,刘凌.基于回归型支持向量机的空战目标威胁评估[J].北京航空航天大学学报,2010,36(1):123-126.GUO Hui,XU Haojun,LIU Ling.Target threat assessment of air combat based on support vector machines for regression[J].Journal of Beijing University of Aeronautics and Astronautics,2010,36(1):123-126.(in Chinese)
[15]张才坤,朱战霞,冯琦,等.基于区间数雷达图的可视化空战威胁评估[J].系统工程与电子技术,2016,38(5):1052-1058.ZAHNG Caikun,ZHU Zhanxia,FENG Qi,et al.Visualization threat assessment for air combat based on interval-radar chart[J].Systems Engineering and Electronic,2016,38(5):1052-1058.(in Chinese)
[2]陈洁钰,姚佩阳,王勃,等.基于结构熵和IGSO-BP算法的动态威胁评估[J].系统工程与电子技术,2015,37(5):1076-1083.CHEN Jieyu,YAO Peiyang,WANG Bo,et al.Dynamic threat assessment based on structure entropy and IGSO-BP algorithm[J].Journal of Systems Engineering and E-lectronics,2015,37(5):1076-1083.(in Chinese)
[3]武华,苏秀琴.基于群广义直觉模糊软集的空袭目标威胁评估方法[J].控制与决策,2015,30(8):1462-1468.WU Hua,SU Xiuqin.Threat assessment of aerial targets based on group generalized intuitionistic fuzzy soft sets[J].Control and Decision,2015,30(8):1462-1468.(in Chinese)
[4]关欣,孙迎丰,何友.不完备信息系统的辐射源识别方法研究[J].电子科技大学学报,2008,37(1):8-11.GUAN Xin,SUN Yingfeng,HE You.Study on emitter recognition to incomplete information system[J].Journal of University of Electronic Science and Technology of China,2008,37(1):8-11.(in Chinese)
[5]DUNTSCH L,GEDIGA G.Uncertainty measures of rough set prediction[J].Artificial Intelligence,1998,106(1):109-137.
[6]陈利安,肖明清,赵鑫.基于粗糙集与信息熵的不完备测试信息条件下故障诊断[J].振动与冲击,2012,31(22):24-28.CHEN Li'an,XIAO Mingqing,ZHAO Xin.Fault diagnosis under condition of incomplete test information based on rough set and information entropy[J].Journal of Vibration and Shock,2012,31(22):24-28.(in Chinese)
[7]马睿,刘文奇.基于集值信息系统的多粒度粗糙集[J].系统工程与电子技术,2014,36(5):920-925.MA Rui,LIU Wenqi.Multi-granulation rough set model based on set model based on set-valued information system[J].Systems Engineering and Electronics,2014,36(5):920-925.(in Chinese)
[8]曾玲,何普彦,付敏.不完备区间值信息系统的粗糙集约简算法[J].南京理工大学学报,2013,.37(4):524-529.ZENG Ling,HE Puyan,FU Min.Attribute reduction algorithm based on rough set in incomplete interval-valued information system[J].Journal of Nanjing University of Science and Technology,2013,37(4):524-529.(in Chinese)
[9]刘城霞,何华灿.广义相关性基础上的量化容差关系的改进[J].北京邮电大学学报,2015,38(5):28-32.LIU Chengxia,HE Huacan.An improvement on the valued tolerance relation based on the generalized correlativity[J].Journal of Beijing University of Posts and Telecommunications,2015,38(5):28-32.(in Chinese)
[10]QI Z F,HAN S,LI X.Applications of generalized rough set theory in evaluation index system of radar anti-jamming performance[J].Journal of Shanghai Jiaotong University,2016,21(2):151-158.
[11]曾玲,付敏,何普彦.双精度容差关系的粗糙集拓展模型及约简[J].江苏大学学报(自然科学版),2014,35(3):312-318.ZENG Ling,ZENG Min,HE Puyan.Extension rough set model and reduction of dual-variable precision tolerance relation[J].Journal of Jiangsu University(Natural Science Edition),2014,35(3):312-318.(in Chinese)
[12]翟永健,张宏.不完备信息系统中的优势关系多粒度粗糙集[J].南京理工大学学报,2012,36(1):66-72.ZHAI Yongjian,ZHANG Hong.Dominance-based multigranulation rough sets in incomplete information system[J].Journal of Nanjing University of Science and Technology,2012,36(1):66-72.(in Chinese)
[13]YANG Y L,TAI H X,SHI T.Weighting indicators of building energy efficiency assessment taking account of experts’priority[J].Journal of Central South University,2012,19(3):803-808.
[14]郭辉,徐浩军,刘凌.基于回归型支持向量机的空战目标威胁评估[J].北京航空航天大学学报,2010,36(1):123-126.GUO Hui,XU Haojun,LIU Ling.Target threat assessment of air combat based on support vector machines for regression[J].Journal of Beijing University of Aeronautics and Astronautics,2010,36(1):123-126.(in Chinese)
[15]张才坤,朱战霞,冯琦,等.基于区间数雷达图的可视化空战威胁评估[J].系统工程与电子技术,2016,38(5):1052-1058.ZAHNG Caikun,ZHU Zhanxia,FENG Qi,et al.Visualization threat assessment for air combat based on interval-radar chart[J].Systems Engineering and Electronic,2016,38(5):1052-1058.(in Chinese)