An interval type-2 fuzzy MARCOS modelling to assess performance effectiveness of survival craft on cargo ship
OCEAN ENGINEERING, cilt.326, 2025 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 326
- Basım Tarihi: 2025
- Doi Numarası: 10.1016/j.oceaneng.2025.120899
- Dergi Adı: OCEAN ENGINEERING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, ICONDA Bibliographic, INSPEC, Metadex, Civil Engineering Abstracts
- Anahtar Kelimeler: Survival craft, Abandon ship, Decision-making, IT2FS, MARCOS
- Recep Tayyip Erdoğan Üniversitesi Adresli: Evet
Özet
Emergency evacuation in maritime transportation is a critical concern, particularly with the expanding public marine transportation sector and significant losses from maritime disasters. This study aims to improve the decision-making process for selecting appropriate survival crafts on cargo ships using an Interval Type-2 Fuzzy MARCOS (IT2F-MARCOS) model. The proposed methodology addresses the inherent uncertainties and manages subjectivities in emergency scenarios, providing a robust framework for optimizing survival craft selection. The IT2F-MARCOS methodology integrates Interval Type-2 Fuzzy Sets (IT2FSs) to manage the ambiguity in qualitative assessments. IT2FSs offer a more accurate representation of vagueness and are used in various multi-criteria decision-making (MCDM) problems due to their simplicity and robustness. The MARCOS method, which defines the relationship between alternatives and ideal/negative-ideal solutions, is enhanced with IT2FSs to handle subjective evaluations effectively. The IT2F-MARCOS model involves constructing an IT2F decision-making matrix, defining ideal and anti-ideal solutions, normalizing the IT2F matrix, and calculating weighted IT2F matrices. The utility degrees of alternatives are computed and defuzzified to obtain a crisp ranking of hazards. A panel of maritime experts provided insights through linguistic evaluations, allowing for the prioritization of hazards associated with survival craft performance on cargo ships. The study demonstrates that high-risk scenarios, such as driving vehicles at excessive speeds, are the most critical hazards. The IT2F-MARCOS model effectively identifies and ranks these hazards, offering a comprehensive tool for maritime emergency management and contributing to improved safety and efficiency in maritime operations.