Publication:
An Integrated Pythagorean Fuzzy AHP & TOPSIS Method for the Selection of the Most Appropriate Clean Energy Technology

dc.contributor.authorKaraşan, Ali
dc.contributor.authorKahraman, Cengiz
dc.contributor.authorGÜNDOĞDU, FATMA KUTLU
dc.contributor.authorID273471tr_TR
dc.contributor.authorID227871tr_TR
dc.contributor.authorID9178tr_TR
dc.date.accessioned2019-09-04T14:31:18Z
dc.date.available2019-09-04T14:31:18Z
dc.date.issued2019-07
dc.description.abstractClean energy technologies which include renewable energy, electric vehicles, nuclear power and biofuels focus on ways to boost demand and de­ ployment by societies. Governments in many countries aim to increase the clean energy technologies and oner incentives to increase tendency on that sec­ tor. One of the reasons of these incentives is to prevent the global warming. For example. 30% of global electricity can be produced from wind and solar power in the long tenn, without adding to the total cost of reaching a low-carbon fu­ ture. In this study, we use an integrated Pythagorean fuzzy MCDM method consist of AHP and TOPSIS for the selection of the most appropriate clean en­ ergy7 technology for the Marmara Region.tr_TR
dc.identifier.scopus2-s2.0-85069440113
dc.identifier.urihttps://hdl.handle.net/11413/5234
dc.language.isoen_UStr_TR
dc.relation.journalIntelligent and Fuzzy Sytems (INFUS)tr_TR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectPythagorean Fuzzy Setstr_TR
dc.subjectPythagorean AHPtr_TR
dc.subjectPythagorean TOPSIStr_TR
dc.subjectClean Energy7 Technologiestr_TR
dc.subjectDecision Making Introductiontr_TR
dc.titleAn Integrated Pythagorean Fuzzy AHP & TOPSIS Method for the Selection of the Most Appropriate Clean Energy Technologytr_TR
dc.typeconferenceObjecttr_TR
dspace.entity.typePublication
local.indexed.atSCOPUS
relation.isAuthorOfPublication2120a14b-efcd-4600-af1a-9039e49f9702
relation.isAuthorOfPublication.latestForDiscovery2120a14b-efcd-4600-af1a-9039e49f9702

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