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A knowledge-based framework for two-dimensional (2D) asymmetrical polygonal ship domain

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dc.contributor.author Fiskin, Remzi
dc.contributor.author Nasiboglu, Efendi
dc.contributor.author Yardimci, Mehmet Oguz
dc.date.accessioned 2022-08-16T12:10:37Z
dc.date.available 2022-08-16T12:10:37Z
dc.date.issued 2020
dc.identifier.uri http://doi.org/http://doi.org/10.1016/j.oceaneng.2020.107187
dc.identifier.uri http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/2125
dc.description.abstract Ship domain is crucial for traffic risk assessment and safe navigation at sea especially in high-density traffic. This study proposes a fuzzy rule-based model to create an asymmetrical polygonal ship domain for both restricted waters and open waters. The model takes into consideration various navigational factors which are determined as a result of expert interviews. A C# application based on fuzzy inference system (FIS) with Mamdani model has been implemented to create the size and shape of the domain. Finally, a few experimental tests and comparative implementations with other ship domains have been conducted to demonstrate the performance of the proposed system. The proposed ship domain will undoubtedly contribute to the ship traffic engineering and is considerably utilized in collision risk assessment and traffic design. en_US
dc.language.iso eng en_US
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND en_US
dc.relation.isversionof 10.1016/j.oceaneng.2020.107187 en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject COLLISION-AVOIDANCE; NAVIGATIONAL SAFETY; CRITERION; MODELS en_US
dc.subject Ship domain; Collision risk assessment; Knowledge-based model; FIS en_US
dc.title A knowledge-based framework for two-dimensional (2D) asymmetrical polygonal ship domain en_US
dc.type article en_US
dc.relation.journal OCEAN ENGINEERING en_US
dc.contributor.department Ordu Üniversitesi en_US
dc.contributor.authorID 0000-0002-5949-0193 en_US
dc.contributor.authorID 0000-0002-7273-1473 en_US
dc.identifier.volume 202 en_US


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