摘要
针对传统TOPSIS方法在解决坦克分队战场目标威胁评估时所包含评估指标信息不完整的问题,提出了利用直觉模糊熵改进的TOPSIS多目标威胁评估方法。根据城市作战特点建立坦克分队战场目标威胁评估指标体系,明确评估指标评价语言与直觉模糊数之间的对应关系,利用组合赋权法确定评估指标权重,利用直觉模糊熵改进的TOPSIS方法对城市作战中坦克分队单时刻、多目标威胁评估进行仿真分析,得出最终的目标威胁排序。结果表明,所提算法包含评估指标评价信息完整,并能对决策者风险偏好进行灵敏度分析,灵活性强,可靠性高。
Aiming at the problem of incomplete evaluation information contained in the traditional TOPSIS method in solving the target threat assessmentof tank units on the battlefield,a TOPSIS multitarget threat evaluation method improved by intuitionistic fuzzy entropy is proposed. Firstly,a target threat assessment index system for tank units is established based on the characteristics of urban operations,the corresponding relationship between the evaluation index evaluation language and the intuitionistic fuzzy number is clarifed,and then the combined weighting method to determine the evaluation index weight is used,and finally the TOPSIS method improved by the intuitionistic fuzzy entropy Perform simulation analysis on single-time and multi-target threat assessment of tank units in urban operations is used,and the final target threat ranking is obtained. The results show that the proposed algorithm contains complete index evaluation information,and can perform sensitivity analysis on the risk preference of decision-makers,with strong flexibility and high reliability.
作者
朱学耕
白文昊
韩党生
冯传茂
王作根
ZHU Xuegeng;BAI Wenhao;HAN Dangsheng;FENG Chuanmao;WANG Zuogen(Tactics Department,Campus in Bengbu,Army Academy of Armored Forces,Bengbu 233000,China;College of Educational Sciences,Luoyang Normal University,Luoyang 471934,China)
出处
《火力与指挥控制》
CSCD
北大核心
2022年第5期111-117,共7页
Fire Control & Command Control
基金
陆军装备军内科研基金资助项目(LJ20191C030459)。
关键词
城市作战
威胁评估
组合赋权
直觉模糊熵
逼近理想解排序
urban operations
threat assessment
combination weighting
intuitionistic fuzzy entropy
technique for order preference by similarity to an ideal solution method