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dc.contributor.authorBui, Khanh Q.
dc.contributor.authorÖlçer, Aykut I.
dc.contributor.authorKitada, Momoko
dc.contributor.authorBallini, Fabio
dc.date.accessioned2021-01-25T13:24:43Z
dc.date.available2021-01-25T13:24:43Z
dc.date.issued2021-02-01
dc.description.abstractDue to the increasing pressure from stricter environmental regulations to reduce emissions in shipping, the maritime industry has been striving for finding more effective measures. Existing measures are often not enough to comply with new regulations. Among various alternative measures, it is not easy for decision-makers (shipowners and operators) to choose the most suitable alternative measure as it involves with multi-criteria decision-making where the prioritization of a number of alternatives vis-à-vis multiple criteria evaluation is undertaken. Further challenges on such analysis are the lack of information as well as its subjectivity and/or the inconsistency. This study proposes an integrative fuzzy multi-criteria decision-making method that combines fuzzy analytic hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) for the selection of technological alternatives for regulatory compliance under vague environment. Nine criteria within three sustainability aspects (social, economic and environmental aspects) were analysed and evaluated as regards four possible alternatives. The weights of these aspects and criteria were determined by the fuzzy AHP; meanwhile, alternatives were prioritized by the fuzzy TOPSIS. According to the outputs of the proposed decision-making framework, the study revealed that low-sulphur fuels are the best suitable alternative for regulatory compliance. The following alternatives are methanol, scrubbers and liquefied natural gas in order. Sensitivity analysis was conducted to tell us that the proposed framework is robust. This proposed method will be potentially applicable to other fields where decisions are required to make under vague information conditions.en_US
dc.descriptionThis is an accepted manuscript of the article Bui, K.Q., Ölçer, AI., Kitada, M. & Ballini, F. (2020). Selecting technological alternatives for regulatory compliance towards emissions reduction from shipping: An integrated fuzzy multi-criteria decision-making approach under vague environment, accepted for publication in <i>Journal of Engineering for the Maritime Environment (Part M), 235</i>(1). 2020en_US
dc.identifier.citationBui KQ, Ölçer AI, Kitada M, Ballini F. Selecting technological alternatives for regulatory compliance towards emissions reduction from shipping: An integrated fuzzy multi-criteria decision-making approach under vague environment. Journal of Engineering for the Maritime Environment (Part M). 2020en_US
dc.identifier.cristinIDFRIDAID 1851801
dc.identifier.doi10.1177/1475090220917815
dc.identifier.issn1475-0902
dc.identifier.issn2041-3084
dc.identifier.urihttps://hdl.handle.net/10037/20475
dc.language.isoengen_US
dc.publisherSAGE Publicationsen_US
dc.relation.journalJournal of Engineering for the Maritime Environment (Part M)
dc.relation.urihttps://journals.sagepub.com/doi/10.1177/1475090220917815
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Technology: 500en_US
dc.subjectVDP::Teknologi: 500en_US
dc.titleSelecting technological alternatives for regulatory compliance towards emissions reduction from shipping: An integrated fuzzy multi-criteria decision-making approach under vague environmenten_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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