基于兵棋复盘数据的指挥决策风格分析方法OA

The command decision-making style of military commanders significantly impacts combat outcomes,yet existing research lacks objective quantitative analysis methods.To address this gap,this study establishes a quantitative index system through three behavioral dimensions derived from wargame replay data:terrain utilization,weapon deployment,and opera-tional coordination.Utilizing hierarchical clustering algorithms,we achieve unsupervised classification of command decision-making styles.Three distinct tactical patterns are identified:terrain and firepower-dominant style,coordinated assault-effi-cient style,and balanced and steady style,each exhibiting marked disparities in tactical preferences.Corresponding counter-strategies are systematically proposed for each identified style.This research provides theoretical support for optimizing com-mand decisions and developing wargame AI systems,demonstrating substantial potential for advancing intelligent military de-cision-making through data-driven style characterization.