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基于多层多级天际线选择方法的威胁评估 被引量:1

Threat assessment based on multilayer and multistage skyline selection method
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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。 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.
作者 王思远 王刚 岳韶华 宋亚飞 刘家义 WANG Siyuan;WANG Gang;YUE Shaohua;SONG Yafei;LIU Jiayi(Graduate College,Air Force Engineering University,Xi'an 710051,China;Air and Missile Defense College,Air Force Engineering University,Xi'an 710051,China)
出处 《航空学报》 EI CAS CSCD 北大核心 2020年第5期228-241,共14页 Acta Aeronautica et Astronautica Sinica
基金 中国博士后科学基金(2016M602996)。
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 threat assessment multiple-attribute decision-making Skyline query skyline selection method multistage skyline
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  • 1周红福,宫学庆,郑凯,周傲英.基于高维空间的在线高效子空间Skyline算法——CSky[J].计算机学报,2007,30(8):1409-1417. 被引量:8
  • 2Borzsonyi S, Kossmann D, Stocker K. The skyline operator. In: Proc. of the 17th Int'l Conf. on Data Engineering. Heidelberg, IEEE Computer Society Press, 2001. 421-430. http://www.dbis.ethz.ch/research/publications/38.pdf
  • 3Balke WT, Guntzer U. Multi-Objective query processing for database systems. In: Proc. of the Internet Conf. on Very Large Data Bases (VLDB 2004). 2004. 936- 947. http://www.vldb.org/conf/2004/RS24P1 .PDF
  • 4Kung HT, Luccio F, Preparata FP. On finding the maxima of a set of vectors. Journal of the ACM, 1975,22(4):469-476. http://portal.acm.org/citation.cfm?id=321910&dl=ACM&coll=portal
  • 5Bentley JL, Kung HT, Schkolnick M, Thompson CD. On the average number of maxima in a set of vectors and applications. Journal of the ACM, 1978,25(4):536-543. http://portal.acm.org/citation.cfm?id=322092.322095
  • 6Yuan Y, Lin X, Liu Q, Wang W, Yu JX, Zhang Q. Efficient computation of the skyline cube. In: Proc. of the 31 st Int'l Conf. on Very Large Databases. ACM, 2005.241-252. http://www.vldb2005.org/program/paper/tue/p241-yuan.pdf
  • 7Li CP, Ooi BC, Tung AKH, Wang S. DADA: A data cube for dominant relationship analysis. In: Proc. of the ACM SIGMOD Int'l Conf. on Management of Data (SIGMOD 2006). 2006. http://www.comp.nus.edu.sg/-ooibc/dadacube.pdf
  • 8Chan CY, Jagadish HV, Tan KL, Tung AKH, Zhang ZJ. Finding k-dominant skylines in high dimensional space. In: Proc. of the ACM SIGMOD Int'l Conf. on Management of Data (SIGMOD 2006). Chicago, 2006. 503-514. http://www.eecs.umich.edu/ db/files/k_dominant.pdf
  • 9Freitas AA. A critical review of multi-objective optimization in data mining. A Position Paper: ACM SIGKDD Explorations, 2004, 6(2):77-86. http://portal.acm.org/citation.cfm?id= 1046456.1046467&coll=GUIDE&dl=GUIDE
  • 10Chomicki J, Godfrey P, Gryz J, Liang D. Skyline with presorting. In: Proc. of the IEEE Int'l Conf. on Data Engineering. Los Alamitos: IEEE Computer Society Press, 2003. http://www.cs.sfu.ca/CC/843/jpei/Skyline/Chomicki-Presorting-ICDE03.pdf

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