Integrating Digital Solutions for Crew Resource Management in Aviation: A Fuzzy BWM-COCOSO Approach

Abstract

This study presents a novel hybrid framework integrating Fuzzy Best-Worst Method (Fuzzy BWM) and Combined Compromise Solution (COCOSO) for prioritizing digital Crew Resource Management (CRM) solutions in aviation management. Evaluating alternatives across six criteria—operational efficiency, cost, safety, user experience, scalability, and environmental impact—the framework combines expert judgments with entropy-based validation for balanced decision-making. Based on data from ten industry experts, operational efficiency and safety emerged as the most critical criteria, with Digital Solution A ranking highest due to its strong performance in scalability and predictive analytics. Sensitivity analysis confirmed the model’s robustness, ensuring consistent rankings under varying conditions. This study advances multi-criteria decision-making methodologies in aviation, offering a reliable tool for integrating CRM systems that align with operational and sustainability goals while addressing gaps in existing frameworks.