An interval type-2 fuzzy MARCOS modelling to assess performance effectiveness of survival craft on cargo ship

Aydın M., Camliyurt G., Gül M., Sezer S. I., Çelik E., Akyüz E.

OCEAN ENGINEERING, cilt.326, 2025 (SCI-Expanded) identifier identifier

  • 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.