UAV Combat Effectiveness Evaluation in Complex Mountain Environments Based on AHP-EWM

Abstract

To address the challenge of evaluating the operational effectiveness of unmanned aerial vehicle (UAV) cooperative reconnaissance and strike missions against ground tactical targets in complex mountainous environments, this study constructs a scientific and highly adaptive comprehensive evaluation framework. Based on a subjective-objective combined weighting strategy integrating the Analytic Hierarchy Process (AHP) and the Entropy Weight Method (EWM), a multi-dimensional comprehensive evaluation index system is established, which covers six core dimensions: information acquisition, target recognition, command and decision-making, strike effectiveness, cooperative efficiency, and mountain adaptability. Weighting results indicate that strike effectiveness and mountain adaptability are the dominant dimensions that determine the overall operational effectiveness of UAVs. Specifically, the terrain-corrected circular error probable and the terrain-matched flight index occupy core positions in the strike effectiveness and mountain adaptability dimensions, respectively. This proposed framework provides an operable theoretical foundation and practical guidance for the quantitative evaluation of UAV cooperative reconnaissance and strike effectiveness, identification of system shortcomings, optimization of resource allocation, and formulation of tactical decisions in complex mountainous environments.