Akademik Veri Yönetim Sistemi
Engineering Applications of Artificial Intelligence, cilt.148, 2025 (SCI-Expanded)
The use of helicopters in combating forest fires is critical due to their ability to rapidly access remote and rugged terrains, enabling timely interventions that significantly curb fire spread. Additionally, helicopters can deliver substantial amounts of water and firefighting agents directly to affected areas, enhancing suppression efforts while minimizing damage to ecosystems and nearby communities. The main objective of this study is to evaluate the forest fire helicopter fleet by developing a decision model to prioritize helicopters for more effective firefighting. The motivation of the study is to propose a systematic approach that ensures the optimal utilization of resources in fire management. A q-Rung Orthopair Fuzzy Set based Alternative Ranking Technique based on Adaptive Standardized Intervals (ARTASI) method is introduced as an innovative framework for evaluating medium-lift forest fire helicopters. The methodology is applied in a case study involving seven helicopters domestically produced, leased, or designated as reserve assets assessed based on firefighting-specific criteria. The results highlight cost and water-carrying capacity as critical evaluation factors. Among the alternatives, the “Ka-32” helicopter is identified as the most suitable, reflecting Turkey's successful efforts to enhance its firefighting capabilities with models like the “T-70”. Sensitivity analyses, including variations in criteria weights, the q parameter, and alternative decision-making methods, confirm the robustness and applicability of the proposed approach for helicopter selection in forest fire management.