Battlefield Target Intelligent Value Analysis Based on Real-Time Data
Jun Yong Lu, Dongliang Yin · Proceedings of the 7th International Conference on Cyber Security and Information Engineering · 2022
In the process of battlefield target identification and decision-making, it has the characteristics of real-time change of target parameter data and large amount of data. The previous target value analysis methods have large limitations. Considering the impact of real-time data driving on target value analysis and decision-making, the cloud model is used to target the target. The uncertain and fuzzy information in the real-time data is quantified to generate cloud membership; based on the data envelopment analysis (DEA) method, a relatively optimal efficiency decision-making tool, the value of the battlefield target is carried out. Sorting and decision making. Finally, a numerical example is analysed to verify the applicability and correctness of the model. The calculation example shows that the model can meet the timeliness of hitting targets in wartime, and it provides a practical mathematical tool for analysis of the value of battlefield targets.