The Fuzzy Analytic Hierarchy Process for Evaluating the Effectiveness of Manned and Unmanned Collaborative Combat

With the extensive application of unmanned systems in the military domain, human-unmanned collaborative combat has become an important mode of warfare. However, accurately assessing the effectiveness of collaborative combat remains a challenging issue. This paper presents an assessment framework based on fuzzy analytic hierarchy process, which can assist decision-makers in better understanding and evaluating the outcomes of human-unmanned collaborative combat. To validate the effectiveness of this framework, we conducted empirical research and analyzed the assessment results. Through case analysis, we found that this method can accurately assess the efficiency of human-unmanned collaborative combat and provide valuable decision support for policymakers.