Basit öğe kaydını göster

dc.contributor.authorLiu, Jialun
dc.contributor.authorAydın, Muhammet
dc.contributor.authorAkyüz, Emre
dc.contributor.authorArslan, Özcan
dc.contributor.authorUflaz, Esma
dc.contributor.authorKurt, Rafet Emek
dc.contributor.authorTuran, Osman
dc.date.accessioned2023-01-07T18:11:22Z
dc.date.available2023-01-07T18:11:22Z
dc.date.issued2022en_US
dc.identifier.citationLiu, J., Aydin, M., Akyuz, M., Arslan, O., Uflaz, E., Kurt, R.E. & Turan, O. (2022). Prediction of human–machine interface (HMI) operational errors for maritime autonomous surface ships (MASS). Journal of Marine Science and Technology (Japan), 27(1), 293-306. https://doi.org/10.1007/s00773-021-00834-wen_US
dc.identifier.isbn0948-4280
dc.identifier.urihttps://doi.org/10.1007/s00773-021-00834-w
dc.identifier.urihttps://hdl.handle.net/11436/7361
dc.description.abstractThe human factor is a hot topic for the maritime industry since more than 80 percent of maritime accidents are due to human error. Minimizing human error contributions in maritime transportation is vital to enhance safety levels. At this point, the maritime autonomous surface ships (MASS) concept has become one of the most significant aspects to minimize human errors. The objective of this research is to predict the human–machine interface (HMI)-based operational errors in autonomous ships to improve safety control levels. At this point, the interaction between shore-based operator and controlling system (cockpits) can be monitored and potential HMI operational errors can be predicted. This research utilizes a Success Likelihood Index Method (SLIM) under an interval type-2 fuzzy sets (IT2FSs) approach. While the SLIM provides a prediction of the human–machine interface (HMI) operational errors, the IT2FSs tackles uncertainty and vagueness in the decision-making process. The findings of this paper are expected to highlight the importance of human–machine interface (HMI) operational errors in autonomous ships not only for designers but also for operational aspects.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutonomous surface shipsen_US
dc.subjectHuman erroren_US
dc.subjectHuman factoren_US
dc.subjectHuman–machine interface (HMI)en_US
dc.titlePrediction of human–machine interface (HMI) operational errors for maritime autonomous surface ships (MASS)en_US
dc.typearticleen_US
dc.contributor.departmentRTEÜ, Turgut Kıran Denizcilik Fakültesi, Gemi Makineleri İşletme Mühendisliği Bölümüen_US
dc.contributor.institutionauthorAydın, Muhammet
dc.identifier.doi10.1007/s00773-021-00834-wen_US
dc.identifier.volume27en_US
dc.identifier.issue1en_US
dc.identifier.startpage293en_US
dc.identifier.endpage306en_US
dc.relation.journalJournal of Marine Science and Technology (Japan)en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


Bu öğenin dosyaları:

Thumbnail

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster