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基于战场态势变权的空中集群威胁评估 被引量:2

Threat Assessment of Aircluster Based on Battlefield Situation Variable Weight
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摘要 以联合空中作战为背景,提出了一种基于战场态势变权的空中集群威胁评估方法。首先建立了空中集群的威胁评估指标体系,根据离散信源与武器装备的相似原理构造了基于层次聚合的威胁指标量化模型;采用层次分析法和熵权法得到主客观权重,博弈组合得到常权权重,引入变权理论确定变权权重,使指标权重能够反映战场态势的特点和变化;然后针对传统多属性决策方法没有考虑决策者心理因素以及灰色关联分析和TOPSIS法评估结果不一致的问题,构建了基于后悔理论的灰色TOPSIS威胁评估模型,通过计算综合贴近度得到最终威胁评估结果,仿真实验证明该方法可靠有效。 Taking joint air operations as the background,an air cluster threat assessment method based on the change of battlefield situation is proposed.First,a threat assessment index system for air cluster is established,and a quantified threat index model based on hierarchical aggregation is constructed based on the similar principles of discrete sources and weapons and equipment;the subjective and objective weights are obtained by the analytic hierarchy process and the entropy weight method,and the constant weight is obtained by the game combination.the variable weight theory is introduced to determine the variable weight,so that the index weight can reflect the characteristics and changes of the battlefield situation;then,the traditional multi-attribute decision-making method does not consider the psychological factors of the decision maker and the gray correlation analysis and the TOPSIS method evaluation results are inconsistent.A grey TOPSIS threat assessment model based on regret theory is proposed,and the final threat assessment result is obtained by calculating the comprehensive closeness.Finally,the effectiveness of the method is proved by simulation experiments.
作者 李威 卢盈齐 范成礼 朱晓雯 LI Wei;LU Yingqi;FAN Chengli;ZHU Xiaowen(Air Defense and Antimissile School,Air Force EngineeringUniversity,Xi’an 710051,China)
出处 《空军工程大学学报(自然科学版)》 CSCD 北大核心 2022年第3期89-96,共8页 Journal of Air Force Engineering University(Natural Science Edition)
基金 国家自然科学基金(62106283,72001214) 陕西省自然科学基础研究计划(2020JQ-484)。
关键词 态势变权 空中集群 威胁评估 博弈组合赋权 后悔理论 灰色关联分析 优劣解距离法 situation variable weight air cluster threat assessment game combination weighting regret theory grey relational analysis TOPSIS
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