Threat Assessment Of Complex Equipment Based On Multi-attribute Decision Making

Under the background of high-level cross-domain joint operations,the changes of war form and the rapid development of science and technology have made the combat methods and combat equipment of modern campaigns change with each passing day.Faced with the ever-changing battlefield situation,our commanders need to assess the threat of the battlefield space situation based on battlefield intelligence and provide strategic decision support for the allocation of firepower in order to gain the initiative in the war.Therefore,the target threat assessment method of multi-domain combat space is urgently needed in modern warfare to deal with the complex battlefield environment.Aiming at the characteristics of various cross-domain combat targets and complex threat assessment indicators in modern warfare,this thesis studies the threat assessment method of enemy targets and clusters based on multi-attribute decision-making in multi-domain operations.The main research contents are as follows:(1)Aiming at the problem that the existing threat assessment scenarios are single and cannot grasp the overall battlefield situation,this thesis takes multi-domain operations as the background,firstly carries out threat analysis from two aspects of the static capability attribute and dynamic situation attribute of the combat target,and then combines combat experience to propose and realizes the extraction of threat attributes and quantitative modeling of threat degree of multi domain combat targets.Finally,the multi-attribute decision-making method is used to evaluate the threat ranking of our airspace,sea area and land area by multi-domain combat targets through simulation scenarios case,which verifies the effectiveness and practicability of the threat assessment decision.(2)Aiming at the problem that traditional multi-objective threat assessment methods cannot comprehensively evaluate the characteristics of cluster threats,this thesis proposes two methods for analyzing cluster threats.Firstly,we introduce the DBSCAN algorithm to cluster multi-domain targets according to their state attributes,and propose a DBSCAN clustering algorithm based on attribute weights.By comparing the distance between each cluster and the maximum threat point in the threat assessment measure,we get the rank of cluster threat degree;secondly,after analyzing the shortcomings of the first cluster threat assessment mode,we propose DBSCAN algorithm based on the spatial location of combat targets to cluster and classify targets,and evaluate cluster threat by multi-attribute decision making method using cluster feature evaluation index at command level.Finally,We verify the effectiveness of the cluster threat assessment method through a simulation case.(3)We built a visual platform for dynamic deduction of combat concept model based on the laboratory project,and embedded threat assessment plug-in on the platform based on the research results of Chapter 3 and 4.This thesis gives an overview of the function composition,architecture and simulation cases of the visual platform,and then introduces the design of threat assessment plug-in in detail.Finally,this thesis realizes the visualization display of combat threat assessment through simulation scenarios,which is of great significance to combat command decision-making.