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作 者:李洪成 张永夫 王成 袁峰 LI Hongcheng;ZHANG Yongfu;WANG Cheng;YUAN Feng(Joint Operations College,National Defense University,Shijiazhuang 050000,China)
机构地区:[1]国防大学联合作战学院,河北石家庄050000
出 处:《信息工程大学学报》2024年第4期499-504,共6页Journal of Information Engineering University
基 金:国家社会科学基金军事学项目(2022-SKJJ-C-069)。
摘 要:传统作战地域选择辅助决策方法需要人工输入大量模型参数,不利于实现快速高效决策,为此提出与指挥层级和任务相适应的作战地域选择智能辅助分析方法。首先分析作战地域选择问题的主要影响因素;然后针对各个影响因素的典型评价指标,分别构建评价指标计算模型,并建立模型关键参数与指挥层级和作战任务之间的关联关系,在此基础上提出基于参数关联图的模型参数智能确定方法,在多因素对比分析框架下实现作战地域选择智能辅助分析。最后结合登陆地域选择具体应用进行案例分析,验证该方法可以实用、高效地完成作战地域选择辅助决策工作。Traditional assistant decision-making methods for selecting combat areas require manual input of many model parameters,hindering fast and efficient decision-making.To address this issue,an intelligent assistant analysis method for selecting combat areas suitable for the command levels and tasks is proposed.Firstly,the main influencing factors of combat areas selection are analyzed.Then,based on the typical evaluation indicators of each influencing factor,the calculation models for evaluation indicators are constructed,and the correlation relationships between key parameters of the models,command levels,and combat tasks are established.On this basis,an intelligent determination method for model parameters based on parameter correlation graph is proposed,and intelligent assistant analysis of combat area selection is achieved under the framework of multi-factor comparative analysis.Finally,a case study is conducted on the specific application of landing area selection,verifying that the above method can be practical,efficient and convenient in completing the assistant decision-making of combat area selection.
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