云模型和距离熵的TOPSIS法空战多目标威胁评估

TOPSIS Method Based on Cloud Model and Distance Entropy in Evaluating the Air Multi-target Threat

针对传统逼近理想解的排序法(TOPSIS)在空战多目标威胁评估中对战场态势数据精度要求高这一缺陷,提出了一种基于云模型和距离熵TOPSIS法空战多目标威胁评估方法。该方法运用云模型理论对战场态势数据进行模糊表示,并通过定义云元素的大小和距离测度公式实现了两者结合。考虑目标各属性的权重对分析结果的重要性,运用距离熵理论来分配各属性的权重,进而建立加权决策云矩阵,根据相对贴近度的大小确定各方案的威胁程度。最后,通过仿真验证了该方法的可行性和有效性。

Since the Technique for Order Preference by Similarity to Ideal Solution(Later abbreviated as TOPSIS) asks for a high accuracy requirement for the battlefield situation data in the assessment of multiple target threat in air battle,a TOPSIS assessment method based on cloud model and distance entropy is proposed to amend the above flaw. Using the cloud model theory,this method gives an obscure expression of the battlefield situation data,realizes the mutual combination by defining the size of cloud elements and distance measure formula,and takes into account the importance of the weight of every attribute of target to the analysis results. Also,this method allocates the weight of every attribute with the distance entropy theory,establishes the weighted decision cloud matrix,and defines the threat degree of each program according to the relative close degree. Finally,the feasibility and effectiveness of the method are verified by simulation.