基于AHP-熵权法的复杂山地环境无人机作战效能评估
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陆军工程大学 野战工程学院

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A Combined Weighting Approach for UAV Operational Effectiveness Evaluation in Complex Mountainous Terrains
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    摘要:

    复杂山地环境对无人机协同察打地面战术目标的作战效能构成严峻挑战,亟需建立科学且适应性强的评估体系。基于层次分析法(AHP)与熵权法(EWM)的主客观组合赋权策略,构建了包含信息获取、目标识别、指挥决策、打击效能、协同效率及山地适应性六个维度的综合评价指标体系。赋权结果表明,打击效能(36.33%)与山地适应性(24.75%)是决定无人机整体作战效能的主导维度,在核心指标层面,地形修正圆概率误差(CEP)(权重27.98%)和地形匹配飞行指数(权重29.70%)分别位居打击效果维度和山地适应性维度之首。该框架为量化评估复杂山地环境下无人机协同察打效能、识别系统短板、优化资源配置与战术决策等,提供了可操作的理论依据与实践指导。

    Abstract:

    Complex mountainous terrains pose significant challenges to the operational effectiveness of UAVs in collaborative reconnaissance and strike missions against ground tactical targets, necessitating the establishment of a scientifically sound and adaptive evaluation system. Based on a subjective-objective combined weighting strategy integrating the analytic hierarchy process (AHP) and entropy weight method (EWM), a comprehensive evaluation index system was constructed, encompassing six dimensions: information acquisition, target recognition, command decision-making, strike effectiveness, collaboration efficiency, and mountain adaptability. Weighting results reveal that strike effectiveness (36.33%) and mountain adaptability (24.75%) dominate overall operational effectiveness. At the core indicator level, terrain-corrected circular error probable (CEP) with a weight of 27.98% leads the strike effectiveness dimension, while the terrain-matched flight index at 29.70% ranks first in the mountain adaptability dimension. This framework provides an actionable theoretical basis and practical guidance for quantitative evaluation of UAV collaborative reconnaissance-strike effectiveness in complex mountainous environments, identification of system weaknesses, optimization of resource allocation, and tactical decision-making.

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  • 收稿日期:2025-07-08
  • 最后修改日期:2025-08-25
  • 录用日期:2025-08-27
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