Performance assessment of sustainable transportation in the shipping industry using a q-rung orthopair fuzzy rough sets-based decision making methodology

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dc.authoridDelen, Dursun/0000-0001-8857-5148
dc.authoridA.Alsattar, Hassan/0000-0003-1182-936X
dc.authoridDeveci, Muhammet/0000-0002-3712-976X
dc.authoridQahtan, Sarah/0000-0002-5636-5901
dc.authorwosidZaidan, A. A./F-7289-2010
dc.authorwosidDelen, Dursun/AGA-9892-2022
dc.authorwosidA.Alsattar, Hassan/S-1079-2017
dc.authorwosidDeveci, Muhammet/V-8347-2017
dc.authorwosidQahtan, Sarah/E-9160-2019
dc.contributor.authorQahtan, Sarah
dc.contributor.authorAlsattar, Hassan A.
dc.contributor.authorZaidan, A. A.
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorPamucar, Dragan
dc.contributor.authorDelen, Dursun
dc.date.accessioned2024-05-19T14:45:53Z
dc.date.available2024-05-19T14:45:53Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThis paper proposes a novel ship energy systems (SESs) benchmarking model for performance measurement of sustainable transportation based on the extension of q-rung orthopair fuzzy rough sets (q-ROFRS) and multi-criteria decision-making (MCDM) methods. The underlying research methodology consists of two main stages: (i) Formulation of the SES decision matrix between SESs and the sustainability, (ii) Development of a q-ROFRS and fuzzy-weighted zero-inconsistency (q-ROFRS-FWZIC) model to determine the weights of each criterion. The integrated model of the q-ROFRS and fuzzy decision by the opinion score method (q-ROFRS-FDOSM) is offered as a tool for benchmarking the SESs. Sixty-two SESs are evaluated and benchmarked according to the three layers of criteria concerning the five design alternatives. The analysis of the proposed q-ROFRS-FWZIC methodology revealed that decision support methods (C2) is the most important criterion with a weight of 0.4174, followed by gas emissions (C1.1.2) and economic criterion (C1.1.1) with weights of 0.1661 and 0.1498, respectively; and energy efficiency design index (C1.2.1) is the least important. Furthermore, the results from q-ROFRS-FDOSM reveal that SES62 is the most suitable SES followed by SES60, whereas SES37 is the least suitable. Finally, the robustness of the proposed method is assessed by conducting a sensitivity analysis.en_US
dc.description.sponsorshipRoyal School of Mines and Imperial College Londonen_US
dc.description.sponsorshipThanks in advance to the entire team who have tirelessly worked on this project, and the people who support us in any other way. Also, we want to thank the Royal School of Mines and Imperial College London for their support.en_US
dc.identifier.doi10.1016/j.eswa.2023.119958
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.scopus2-s2.0-85151375084en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.eswa.2023.119958
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5379
dc.identifier.volume223en_US
dc.identifier.wosWOS:000967836600001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectMulti-Criteria Decision Makingen_US
dc.subjectQ-Rung Orthopair Fuzzy Rough Setsen_US
dc.subjectFuzzy-Weighted With Zero Inconsistencyen_US
dc.subjectFuzzy Decision By Opinion Score Methoden_US
dc.subjectShip Energy Systemsen_US
dc.titlePerformance assessment of sustainable transportation in the shipping industry using a q-rung orthopair fuzzy rough sets-based decision making methodologyen_US
dc.typeArticleen_US

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