A proportional decomposed fuzzy set-based AHP approach for LNG bunkering facility determination in maritime ports
Ships and Offshore Structures, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1080/17445302.2026.2681713
- Dergi Adı: Ships and Offshore Structures
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, INSPEC, Natural Science Collection (ProQuest), Earth, Atmospheric, & Aquatic Science Collection (ProQuest), Engineering Source (EBSCO), Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Anahtar Kelimeler: Analytic Hierarchy Process, decomposed fuzzy sets, LNG bunkering facility, maritime decision-making, multi-criteria decision-making, proportional fuzzy sets
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
Selecting liquefied natural gas (LNG) bunkering facilities is a complex multi-criteria decision-making (MCDM) challenge involving significant uncertainty. Decomposed Fuzzy Sets (DFS) manage this uncertainty by capturing decision-makers’ cognitive processes through functional and dysfunctional questions. This article introduces proportionality-based models for DFS for the first time. By integrating the reciprocal questioning mechanism of DFS with proportion-based elicitation, the proposed framework captures expert assessments more precisely. A novel proportional decomposed fuzzy AHP method is developed and applied to the LNG bunkering facility selection problem in maritime ports. Findings demonstrate that safety considerations heavily dominate this process; specifically, fire and explosion risk and emergency response accessibility emerge as the most critical sub-criteria. Ultimately, this study confirms the necessity of a risk-oriented, regulation-compliant approach when planning LNG infrastructure in complex port environments.