A model proposal for locating wind turbines

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dc.authorid0000-0002-4394-121Xen_US
dc.authorid0000-0002-8576-5349en_US
dc.contributor.authorAktaş, Ahmet
dc.contributor.authorKabak, Mehmet
dc.date.accessioned2021-06-23T19:44:14Z
dc.date.available2021-06-23T19:44:14Z
dc.date.issued2016
dc.departmentBAİBÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description12th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS) -- AUG 29-30, 2016 -- Vienna, AUSTRIAen_US
dc.description.abstractTotal energy demand has increased all around the world in recent years, as a result of growing population and industrialization. Most of the existing sources to generate energy are fossil fuels and it is known that fossil fuels are scarce. In order to satisfy increasing energy demand, searches for new energy generation sources have been conducted and these searches are ended with the proposal of generation of energy by using renewable sources. Decision makers are facing with some important decision problems related to energy generation from renewable sources. In the scope of this study, site selection problem which is one of the most important problems related to renewable energy is considered. Site selection decision consists of many alternatives and many conflicting decision criteria. Due to the hesitance of decision makers in criteria evaluation, a decision making approach based on hesitant fuzzy sets is proposed for solution of the problem. Weights of evaluation criteria for locating wind turbines are obtained by using the proposed decision making approach. (C) 2016 The Authors. Published by Elsevier B.V.en_US
dc.description.sponsorshipAzerbaijan Assoc Zadehs Legacy & Artificial Intelligence, Azerbaijan State Oil & Ind Univ, Berkeley Initiative Soft Comp, Georgia State Univ, Near E Univ, TOBB Econ & Technol Univ, Univ Alberta, Univ Siegen, Univ Texas, Univ Torontoen_US
dc.identifier.doi10.1016/j.procs.2016.09.422
dc.identifier.endpage433en_US
dc.identifier.issn1877-0509
dc.identifier.startpage426en_US
dc.identifier.urihttps://doi.org/10.1016/j.procs.2016.09.422
dc.identifier.urihttps://hdl.handle.net/20.500.12491/8945
dc.identifier.volume102en_US
dc.identifier.wosWOS:000387583800065en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorAktaş, Ahmet
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartof12Th International Conference On Application Of Fuzzy Systems And Soft Computing, Icafs 2016en_US
dc.relation.ispartofseriesProcedia Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHesitant Fuzzy Setsen_US
dc.subjectDecision Makingen_US
dc.subjectSite Selectionen_US
dc.subjectRenewable Energyen_US
dc.subjectWind Energyen_US
dc.titleA model proposal for locating wind turbinesen_US
dc.typeConference Objecten_US

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