基于粗糙集的雷达抗干扰性能评估指标体系研究
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摘要
研究了一种基于广义粗糙集的雷达抗干扰性能评估指标体系的构建与优化方法。用区间值信息系统描述评估数据,避免了大量实值数据导致的数据分类困难的问题。引入基于H’信息熵的信息填充技术,解决了评估数据中可能遇到不完备信息的技术难点。用基于E条件熵的启发式属性约简算法,实现了冗余评估指标的去除、指标体系的优化和决策规则的提取。通过一个完整的仿真示例,验证了提出方法的可行性、有效性和实用性。
The applications of generalized rough set theory were researched for the construction and optimization of radar anti-jamming performance evaluation index system. A mass of real-valued data was converted to some interval-valued data to avoid the difficulty of classification. The H'- information entropy-based information filling technique was employed to solve the problem of missing evaluation data. The E-condition entropy-based heuristic algorithm was applied to make attribute reduction, optimize evaluation index system, and extract final decision rules. The feasibility, validity and practicability of proposed method were testified by a simulation example.
The applications of generalized rough set theory were researched for the construction and optimization of radar anti-jamming performance evaluation index system. A mass of real-valued data was converted to some interval-valued data to avoid the difficulty of classification. The H'- information entropy-based information filling technique was employed to solve the problem of missing evaluation data. The E-condition entropy-based heuristic algorithm was applied to make attribute reduction, optimize evaluation index system, and extract final decision rules. The feasibility, validity and practicability of proposed method were testified by a simulation example.
引文
[1]任明秋,蔡金燕,朱元清,等.基于RS-ANFIS的雷达抗干扰性能评估方法[J].系统工程理论与实践,2013,33(10):2701-2709.
[2]刘晓东.雷达抗干扰效能评估指标体系及方法研究[D].成都:电子科技大学,2008.
[3]Zdzislaw Pawlak.Rough Sets[J].International Journal of Computer and Information Sciences(S0091-7036),1982,11(5):341-356.
[4]Jiye Liang,Yuhua Qian.Information Granules and Entropy Theory in Information Systems[J].Science in China Series F:Information Science(S1674-733X),2008,51(10):1427-1444.
[5]Yiyu Yao.On Generalizing Rough Set Theory.Rough Sets,Fuzzy Sets,Data Mining,and Granular Computing[M].Berlin,Germany:Springer,2003:44-51.
[6]周献中,黄兵,李华雄,等.不完备信息系统知识获取的粗糙集理论与方法[M].1版.南京:南京大学出版社,2010.
[7]Yee Leung,Manfred M.Fischer,Weizhi Wu,Jusheng Mi.A Rough Set Approach for the Discovery of Classification Rules in Interval-valued Information Systems[J].International Journal of Approximate Reasoning(S0888-613X),2008,47(2):233-246.
[8]Shan Han,Qiang Zhu,Jianxun Li,et al.A Generalized Rough set-based Information Filling Technique for Failure Analysis of Thruster Experimental Data[J].Chinese Journal of Aeronautics(S1000-9361),2013,26(5):1182-1194.
[9]王国胤,于洪,杨大春.基于条件信息熵的决策表约简[J].计算机学报,2002,25(7):1-8.
[10]滕书华,周石琳,孙即祥,等.基于条件熵的不完备信息系统属性约简算法[J].科技大学学报,2010,32(1):90-94.
[2]刘晓东.雷达抗干扰效能评估指标体系及方法研究[D].成都:电子科技大学,2008.
[3]Zdzislaw Pawlak.Rough Sets[J].International Journal of Computer and Information Sciences(S0091-7036),1982,11(5):341-356.
[4]Jiye Liang,Yuhua Qian.Information Granules and Entropy Theory in Information Systems[J].Science in China Series F:Information Science(S1674-733X),2008,51(10):1427-1444.
[5]Yiyu Yao.On Generalizing Rough Set Theory.Rough Sets,Fuzzy Sets,Data Mining,and Granular Computing[M].Berlin,Germany:Springer,2003:44-51.
[6]周献中,黄兵,李华雄,等.不完备信息系统知识获取的粗糙集理论与方法[M].1版.南京:南京大学出版社,2010.
[7]Yee Leung,Manfred M.Fischer,Weizhi Wu,Jusheng Mi.A Rough Set Approach for the Discovery of Classification Rules in Interval-valued Information Systems[J].International Journal of Approximate Reasoning(S0888-613X),2008,47(2):233-246.
[8]Shan Han,Qiang Zhu,Jianxun Li,et al.A Generalized Rough set-based Information Filling Technique for Failure Analysis of Thruster Experimental Data[J].Chinese Journal of Aeronautics(S1000-9361),2013,26(5):1182-1194.
[9]王国胤,于洪,杨大春.基于条件信息熵的决策表约简[J].计算机学报,2002,25(7):1-8.
[10]滕书华,周石琳,孙即祥,等.基于条件熵的不完备信息系统属性约简算法[J].科技大学学报,2010,32(1):90-94.