不确定信息下考虑相关性与多样性的作战方案推荐方法

There are uncertainty information, experience accumulation and reuse in operation plan design, and the trade-off between relativity and diversity in operation plan recommendation. An operational plan recommendation method considering relativity and diversity under uncertain information is proposed. Firstly, the rough set theory is integrated into the best-worst method (BWM) to weight each combat capability attribute. Secondly, the relativity between operational plan and mission requirements under uncertain information and the diversity calculation model between operational plan are given. Then, a determinant point process (DPP) model is proposed to balance relativity and diversity. On this basis, greedy maximum a posterior (MAP) inference algorithm and greedy Trade-off inference algorithm are given to obtain the best recommended subset of operational plan. Finally, the applicability and feasibility of the proposed model and method are verified by case study.