基于多层多级天际线选择方法的威胁评估

doi:10.7527/S1000-6893.2019.23494

电子电气工程与控制

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

基于多层多级天际线选择方法的威胁评估

王思远¹, 王刚², 岳韶华², 宋亚飞², 刘家义¹

1. 空军工程大学研究生院, 西安 710051;
2. 空军工程大学防空反导学院, 西安 710051

收稿日期:2019-09-12 修回日期:2019-09-16 出版日期:2020-05-15 发布日期:2020-01-10
通讯作者: 王思远 E-mail:982268878@qq.com
基金资助:
中国博士后科学基金（2016M602996）

Threat assessment based on multilayer and multistage skyline selection method

WANG Siyuan¹, WANG Gang², YUE Shaohua², SONG Yafei², LIU Jiayi¹

1. Graduate College, Air Force Engineering University, Xi'an 710051, China;
2. Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received:2019-09-12 Revised:2019-09-16 Online:2020-05-15 Published:2020-01-10
Supported by:
China Postdoctoral Science Foundation (2016M602996)

摘要/Abstract

摘要： 传统的威胁评估均采用加权求和方法，最终得到的单一威胁度序列缺少各目标特征，且权值设定过程复杂。在天际线选择理论的基础上，提出了多级天际线选择方法，结合多层次威胁评估建模思想，建立了基于多层多级天际线选择方法的威胁评估模型，有效消除了权值设定过程中个人喜好等因素的干扰，并将每个目标在各评价维度上的属性特征呈现出来。仿真实验结果表明，获得的威胁评估结果全面直观，为指挥员依据不同情况进行后续决策提供了重要依据。

关键词: 威胁评估, 多属性决策, Skyline查询, 天际线选择方法, 多级天际线

Abstract: Traditional threat assessment uses weighted summation method. However, the final threat sequence lacks the characteristics of each target, and the weight setting process is complicated. Based on the theory of skyline selection, a multistage skyline selection method is proposed. Combined with the multi-level threat assessment modeling, a threat assessment model based on the multilayer and multistage skyline selection method is established, which effectively eliminates the interference of personal preferences and other factors in the process of weight setting. The attributes of each target on each evaluation dimension are presented. The simulation results show that the obtained threat assessment results are comprehensive and intuitive, providing an important basis for commanders to make follow-up decisions in different situations.

Key words: threat assessment, multiple-attribute decision-making, Skyline query, skyline selection method, multistage skyline

中图分类号:

王思远, 王刚, 岳韶华, 宋亚飞, 刘家义. 基于多层多级天际线选择方法的威胁评估[J]. 航空学报, 2020, 41(5): 323494-323494.

WANG Siyuan, WANG Gang, YUE Shaohua, SONG Yafei, LIU Jiayi. Threat assessment based on multilayer and multistage skyline selection method[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(5): 323494-323494.

参考文献 23

[1]	孔尚萍. 基于多源信息融合的目标航迹估计与威胁评估[D]. 北京:中国航天科技集团公司, 2017. KONG S P. Target track estimation and threat assessment based on multi-source information fusion[D]. Beijing:China Aerospace Science and Technology Corporation, 2017(in Chinese).
[2]	高天祥, 王刚, 岳韶华, 等. 基于贝叶斯决策理论的NSHV分段建模威胁评估[J]. 空军工程大学学报(自然科学版), 2019, 20(1):60-66. GAO T X, WANG G, YUE S H, et al. Segmental modeling threat assessment of NSHV based on Bayesian decision theory[J]. Journal of Air Force Engineering University (Natural Science Edition), 2019, 20(1):60-66(in Chinese).
[3]	WANG G J, DUAN Y. TOPSIS approach for multi-attribute decision making problems based on N-intuitionistic polygonal fuzzy sets description[J]. Computers & Industrial Engineering, 2018, 124:573-581.
[4]	高阳阳, 余敏建, 王子博琳. 基于云模型和改进熵权的空战多目标威胁等级评估[J]. 火力与指挥控制, 2018, 43(9):35-39. GAO Y Y, YU M J, WANG Z B L. Target threat assessment technology for UAV air combat based on cloud model and improved entropy weight[J]. Fire Control & Command Control, 2018, 43(9):35-39(in Chinese).
[5]	呙鹏程, 王星, 周东青, 等. 基于熵权的灰色关联辐射源威胁评估[J]. 空军工程大学学报(自然科学版), 2016, 17(6):58-63. GUO P C, WANG X, ZHOU D Q, et al. A grey correlation method based on entropy weight in emitter threat assessm-ent[J]. Journal of Air Force Engineering University (Natural Science Edition), 2016, 17(6):58-63(in Chinese).
[6]	KONG D P, CHANG T Q, WANG Q D, et al. A threat assessment method of group targets based on interval-valued intuitionistic fuzzy multi-attribute group decision-making[J]. Applied Soft Computing, 2018, 67:350-369.
[7]	魏小娟, 杨婧, 李翠平, 等. Skyline查询处理[J].软件学报, 2008, 19(6):1386-1400. WEI X J, YANG J, LI C P, et al. Skyline query processing[J]. Journal of Software, 2008, 19(6):1386-1400(in Chinese).
[8]	SIDIROPOULOS A, GOGOGLOU A, KATSAROS D, et al. Gazing at the skyline for star scientists[J]. Journal of Informetrics,2016,10(3):789-813.
[9]	于涛一. 基于Skyline的一种改进的数据流查询算法的研究[D]. 哈尔滨:哈尔滨工程大学, 2009. YU T Y. Researeh of the improved data stream query algorithm based on the skyline[D]. Harbin:Harbin Engineering University, 2009(in Chinese).
[10]	樊明锁, 汤志俊, 陈华辉, 等. 分布式环境下连续概率Skyline查询[J]. 计算机工程与应用, 2013, 49(15):123-129. FAN M S, TANG Z J, CHEN H H, et al. Continuous probabilistic Skyline queries under distributed environm-ent[J]. Computer Engineering and Application, 2013, 49(15):123-129(in Chinese).
[11]	王犍, 张东戈. 面向优势选择评价的天际线方法[J].军事运筹与系统工程, 2017, 31(3):61-66. WANG J, ZHANG D G. Skyline method for advantage selection evaluation[J]. Military Operations Research and Systems Engineering, 2017, 31(3):61-66(in Chinese).
[12]	郭素. 基于众包的不完整数据Skyline查询处理研究[D]. 杭州:浙江大学, 2019. GUO S. Answering Skyline queries over incomplete data with crowdsourcing[D]. Hangzhou:Zhejiang University, 2019(in Chinese).
[13]	邵路伊. 基于交互的多用户Skyline查询处理研究[D].南京:南京航空航天大学,2018. SHAO L Y. Research on interactive multi-users Skyline query processing[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2018(in Chinese).
[14]	樊明锁. 分布式环境下面向移动对象的Skyline查询[D]. 宁波:宁波大学, 2013. FAN M S. Skyline queries for moving objects under distributed environment[D]. Ningbo:Ningbo University, 2013(in Chinese).
[15]	王潇逸, 秦小麟, 王宁, 等. 高效多子空间Skyline查询处理算法[J].计算机科学与探索, 2016, 10(5):623-634. WANG X Y, QIN X L, WANG N, et al. Efficient algorithm for multiple subspace Skyline queries processing[J]. Journal of Frontiers of Computer Science and Technology, 2016, 10(5):623-634(in Chinese).
[16]	PENG Y W, CHEN W M. Parallel k-dominant skyline queries in high-dimensional datasets[J]. Information Sciences,2019,496:538-552.
[17]	YANG Z B, ZHOU X, LI K L, et al. Efficient processing of top k group skyline queries[J]. Knowledge-Based Systems,2019,182:104795.
[18]	李小勇. 不确定数据的分布并行Skyline查询技术研究[D]. 长沙:国防科技大学, 2013. LI X Y. Research on distributed parallel Skyline queries over uncertain data[D]. Changsha:National University of Defense Technology, 2013(in Chinese).
[19]	赵翔, 商海川. 面向高效并行Skyline计算的数据划分方法[J/OL].计算机学报, (2019-08-21)[2019-08-30].http://kns.cnki.net/kcms/detail/11.1826.TP.20190821.0950.002.html. ZHAO X, SHANG H C. Data partitioning method for efficient parallel Skyline computation[J/OL]. Chinese Journal of Computers, (2019-08-21)[2019-08-30]. http://kns.cnki.net/kcms/detail/11.1826.TP.20190821.0950.002.html(in Chinese).
[20]	王思远, 王刚, 张家瑞. 基于变权TOPSIS法的防空目标威胁评估方法[J/OL]. 弹箭与制导学报,(2019-08-29)[2019-08-30]. http://kns.cnki.net/kcms/detail/61.1234.TJ.20190829.1517.007.html. WANG S Y, WANG G, ZHANG J R. Threat assessment method for air defense targets based on variable weight TOPSIS algorithm[J/OL]. Journal of Projectiles, Rockets, Missiles and Guidance, (2019-08-29)[2019-08-30]. http://kns.cnki.net/kcms/detail/61.1234.TJ.20190829.1517.007.html(in Chinese).
[21]	GAO Y, LI D S. Consensus evaluation method of multi-ground-target threat for unmanned aerial vehicle swarm based on heterogeneous group decision making[J]. Computers and Electrical Engineering,2019,74:223-232.
[22]	陈毓昕. 基于数据融合的机载多传感器目标威胁评估[D]. 上海:上海交通大学, 2013. CHEN Y X. The airborne multi-sensor target threat assessment based on data fusion[D]. Shanghai:Shanghai Jiao Tong University, 2013(in Chinese).
[23]	王晓东. 计算机算法设计与分析[M].北京:电子工业出版社,2007. WANG X D. Computer algorithm design and analy-sis[M]. Beijing:Publishing House of Electronics Industry, 2007(in Chinese).

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于多层多级天际线选择方法的威胁评估

Threat assessment based on multilayer and multistage skyline selection method

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 23

相关文章 4

编辑推荐

Metrics

本文评价

[1]	奚之飞, 徐安, 寇英信, 李战武, 杨爱武. 基于PCA-MPSO-ELM的空战目标威胁评估[J]. 航空学报, 2020, 41(9): 323895-323895.
[2]	张昀普, 单甘霖. 面向空中目标威胁评估的多传感器管理方法[J]. 航空学报, 2019, 40(11): 323218-323218.
[3]	崔建国, 傅康毅, 陈希成, 齐义文, 蒋丽英. 基于灰色模糊与层次分析的多属性飞机维修决策方法[J]. 航空学报, 2014, 35(2): 478-486.
[4]	齐怡;沈士团;李驿华;白亮. 故障诊断专家系统中诊断决策方法的研究[J]. 航空学报, 2003, 24(2): 147-151.