Research On Enemy Capture And Control Target Prediction Technology Based On Flexible Requirements

Enemy capture and control target prediction technology is a key technology to achieve intelligent combat,through the accurate analysis of the battlefield target posture,target function,combat terrain,enemy establishment and warfare and other information,effective integration,our ground target set according to different operational needs for flexible hierarchical contraction screening,and finally successfully predicted by the enemy seizure control of the possible target set.Commanders through the prediction of the enemy control target set,the battlefield situation to make a study and judgment,according to operational experience,operational regulations on the battlefield operational deployment to make timely adjustments,so as to seize the first opportunity to combat and achieve combat victory.The enemy seizure control target prediction technology can provide a scientific and reasonable decision theory basis for commanders to grasp the battlefield situation,realize rapid decision making,optimize combat resources,and improve commanders’ combat command capability.In this paper,under the uncertainty environment of offensive and defensive confrontation,using intuitionistic fuzzy set,evidence synthesis,and three-ways decision as the basic theory,the enemy seizure control target prediction technology is divided into three modules of prediction model construction,enemy seizure control target stratification and enemy seizure control target classification for research,so as to achieve effective prediction of enemy seizure control targets.The specific research contents are as follows.(1)For the enemy seizure control target prediction problem,a rough set shrinkage pyramid prediction model is proposed.First,according to the enemy combat target selection process,the rough set shrinkage pyramid prediction model is constructed by combining military doctrine and operational regulations;then,based on the understanding and analysis of the rough set shrinkage pyramid prediction model,mission relevance,enemy attacked ability,target value,target protection degree,and Finally,the rough set shrinkage pyramid prediction model is dynamically adjusted to achieve intelligent prediction of commander’s flexibility requirements in different operational environments.(2)To solve the assessment problem of hierarchical indicators,an indicator assessment method based on intuitionistic fuzzy evidence synthesis is proposed.First,the objective weights of assessment indicators are solved by minimizing the value of intuitionistic fuzzy entropy;then,the assessment information is fused by using ER synthesis rules,which effectively retains the hesitant intuitionistic fuzzy information in the assessment process and avoids information loss;finally,the multi-moment assessment information is assembled by a dynamic fusion method,which fully explores the battlefield posture while adapting to the dynamic nature of the battlefield.It is verified through simulation experiments that the method effectively reduces the uncertainty of assessment results and makes the index assessment results more reasonable.(3)For the classification problem of enemy capture and control targets in specific layers,an improved three-ways decisions target classification method is proposed,which combines the three-way decisions theory for target classification under uncertainty information.The evaluation function of TOPSIS method is used to determine the conditional probability of classification decision;a new loss function is constructed using intuitionistic fuzzy set to solve the threshold value of classification decision,and the objective target classification results are obtained by constructing adaptive risk avoidance coefficients to reduce the influence of human subjective preferences on classification.Through experimental comparison and analysis,the effectiveness and rationality of the method in target classification are verified.