A Prioritization Method for Battlefield Information Based on C-KVC

In response to the problem of extracting priority information from a vast amount of battlefield information in complex battlefield environments, a battlefield information prioritization method based on C-KVC is designed by combining case decision theory, key success factor method, vector space model, and case reasoning techniques. Firstly, the KSF method is used to construct a case base. Then, the VSM is introduced to filter the set of similar cases. After ranking similar cases based on the similarity of operational characteristics, the optimal solution is selected as the priority ranking of the information under current battlefield conditions. Finally, the case base is updated and improved. Through the example of joint naval battlefield information prioritization, the effectiveness and feasibility of this method are analyzed and validated.