基于直觉梯形模糊信息的目标优先级排序方法  

Target Prioritization Method Based on Intuitionistic Trapezoidal Fuzzy Information

作　　者：张昀普 段修生 单甘霖 王猛 ZHANG Yun-pu;DUAN Xiu-sheng;SHAN Gan-lin;WANG Meng(Shijiazhuang Campus of the Army Engineeing University,Shijiazhuang 050003,China;Hebei Key Laboratory of UAV Detection Information Processing and Application Technology,Shijiazhuang 050043,China;Unit 63853 of PLA,Baicheng 137000,China)

机构地区：[1]陆军工程大学石家庄校区,石家庄050003 [2]河北省无人机侦测信息处理与运用技术重点实验室,石家庄050043 [3]解放军63853部队,吉林白城137000

出　　处：《火力与指挥控制》2020年第4期59-64,70,共7页Fire Control & Command Control

基　　金：国家部委预研基金资助项目(012015012600A2203)。

摘　　要：针对地面防空作战中空中目标的优先级排序问题,提出了一种基于直觉梯形模糊信息的优先级排序方法。使用直觉梯形模糊数来描述空中目标的属性参数,分析了目标优先级的影响因素,并利用熵权法确定了影响因素的权重;针对传统TOPSIS方法的缺陷,提出了一种利用相对熵作为距离测度的优先级排序方法;最后结合算例仿真验证了方法的合理性和可行性。Aiming at the prioritization of airborne targets in ground air defense operation,a priority ranking method based on intuitionistic trapezoidal fuzzy information is proposed.The intuitionistic trapezoidal fuzzy numbers are used to describe the attribute parameters of the air target.The influencing factors of the target priority are analyzed,and the weights of the influencing factors are determined by the entropy weight method.Then,a priority ranking method using relative entropy as distance measure is proposed to overcome the shortcomings of traditional TOPSIS method.Simulation results show that the method is reasonable and feasible.

关 键 词：目标优先级 直觉梯形模糊数 TOPSIS 相对熵 

分 类 号：TJ810.37[兵器科学与技术—武器系统与运用工程] E917[军事]