Evaluation of Heavy Forest Fire Helicopters Using q-Rung Orthopair Fuzzy Set-Based TOPSIS Decision-Making Model
Fuzzy Sets and Triangular Norms: Aggregation in Decision-Aided Intelligent Systems, CRC Press, ss.226-247, 2026
- Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
- Basım Tarihi: 2026
- Doi Numarası: 10.1201/9781003529088-10
- Yayınevi: CRC Press
- Sayfa Sayıları: ss.226-247
- Gazi Üniversitesi Adresli: Evet
Özet
Forest fires occur more frequently and violently due to the effects of global warming, reducing biodiversity and causing imbalances in ecosystems, thus threatening sustainability. Countries are trying to control forest fires more effectively by using aerial vehicles to fight forest fires. Helicopters, one of the most effective tools in this fight, play an important role in controlling fires and preventing their spread, thanks to their ability to reach fire zones quickly and precisely by being equipped with water or fire extinguishing chemicals in the fight against forest fires. In this study, more detailed and sustainable solutions are presented for the helicopter selection problem by using q-rung orthopair fuzzy sets (q-ROFSs). In addition to the original contribution based on q-ROFS, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used with a broad criteria perspective for the selection of heavy-class firefighting helicopters used as rental or reserve power in Turkey. The results obtained demonstrate the effectiveness of the fuzzy multi-criteria decision-making (FMCDM) methodology for heavy-class forest fire helicopters. Sensitivity analysis is performed at q levels to test the validity of the methodology and comparisons with different multi-criteria decision-Making (MCDM) methods to confirm the applicability of the methodology to helicopter selection problems.