Fuzzy AHP Model for Courses of Action Comparison in Military Operations

Abstract

In the realm of military operations, effective decision-making is fundamental, and the integration of advanced analytical tools can greatly enhance this process. This study introduces an Artificial Intelligence (AI) model based on the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) for comparing Courses of Action (COAs) in military operations. By combining fuzzy logic with the structured framework of AHP, the model effectively addresses the inherent uncertainty and multifaceted nature of military decision-making processes. Utilizing linguistic variables and fuzzy numbers, the system captures the ambiguity present in expert judgments and operational parameters, allowing for a more nuanced evaluation of various COAs. The proposed model features a hierarchical structure of decision criteria, encompassing technological and operations variables, each assessed using relevant fuzzy representations to reflect varying degrees of importance. The experimental results indicate that such an approach complements traditional decision-making methods in terms of flexibility, consistency, and its capacity to handle complex, multi-criteria scenarios typical in military contexts. Moreover, the model proposed demonstrates particular adaptability to changing operational environments and provides clear, explainable results that are essential for military planners. Therefore, this research contributes to the development of responsible and trustworthy AI-based solutions for military decision-making support, addressing critical challenges in the comparison of COAs.