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Deveci, Muhammet; Ozcan, Ender; John, Robert; Pamucar, Dragan; Karaman, Himmet
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/238578</identifier> <creators> <creator> <creatorName>Deveci, Muhammet</creatorName> <givenName>Muhammet</givenName> <familyName>Deveci</familyName> <affiliation>Natl Def Univ, Turkish Naval Acad, Dept Ind Engn, TR-34940 Istanbul, Turkey</affiliation> </creator> <creator> <creatorName>Ozcan, Ender</creatorName> <givenName>Ender</givenName> <familyName>Ozcan</familyName> <affiliation>Univ Nottingham, Sch Comp Sci, Computat Optimizat & Learning COL Lab, Nottingham NG8 1BB, England</affiliation> </creator> <creator> <creatorName>John, Robert</creatorName> <givenName>Robert</givenName> <familyName>John</familyName> </creator> <creator> <creatorName>Pamucar, Dragan</creatorName> <givenName>Dragan</givenName> <familyName>Pamucar</familyName> <affiliation>Univ Def Belgrade, Mil Acad, Dept Logist, Belgrade 11000, Serbia</affiliation> </creator> <creator> <creatorName>Karaman, Himmet</creatorName> <givenName>Himmet</givenName> <familyName>Karaman</familyName> <affiliation>Univ Istanbul Tech, Fac Civil Engn, Dept Geomat Engn, TR-34367 Istanbul, Turkey</affiliation> </creator> </creators> <titles> <title>Offshore Wind Farm Site Selection Using Interval Rough Numbers Based Best-Worst Method And Marcos</title> </titles> <publisher>Aperta</publisher> <publicationYear>2021</publicationYear> <dates> <date dateType="Issued">2021-01-01</date> </dates> <resourceType resourceTypeGeneral="Text">Journal article</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/238578</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.asoc.2021.107532</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract">Over the past 20 years, the development of offshore wind farms has become increasingly important across the world. One of the most crucial reasons for that is offshore wind turbines have higher average speeds than those onshore, producing more electricity. In this study, a new hybrid approach integrating Interval Rough Numbers (IRNs) into Best-Worst Method (BWM) and Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) is introduced for multi-criteria intelligent decision support to choose the best offshore wind farm site in a Turkey's coastal area. Four alternatives in the Aegean Sea are considered based on a range of criteria. The results show the viability of the proposed approach which yields Bozcaada as the appropriate site, when compared to and validated using the other multi-criteria decision-making techniques from the literature, including IRN based MABAC, WASPAS, and MAIRCA. (C) 2021 Elsevier B.V. All rights reserved.</description> </descriptions> </resource>
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