Fuzzy AHP-GRA approach to evaluating energy sources: a case of Turkey

dc.contributor.authorSamanlıoğlu, Funda
dc.contributor.authorAyağ, Zeki
dc.date.accessioned2020-06-04T15:21:09Z
dc.date.available2020-06-04T15:21:09Z
dc.date.issued2020
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractPurpose Since the demand for energy has dramatically increased in the countries which have fast-growing population and economy, they have faced with a critical problem of how to evaluate a set of potential energy sources (i.e. nuclear, natural gas, bio, geothermal, hydro, wind and solar) and choose the ultimate energy source for their needs. On the other hand, this critical problem turns into a multiple-criteria decision-making (MCDM) in the presence of a set of energy source alternatives and evaluation criteria. In literature, there are many MCDM methods introduced to solve for different kinds of problems. The purpose of this paper is to present an integrated approach for evaluating energy sources using fuzzy AHP and GRA, with a case for Turkey. Design/methodology/approach In this paper, the analytic hierarchy process (AHP) and grey relational analysis (GRA) methods are used because of their advantages for similar problems. On the other hand, due to the fact that the conventional AHP by a nine-point scale and GRA method using a scale with crisp values can be unable to handle to capture the right judgments of a decision-maker(s), to reflect the vagueness and uncertainty on the judgments of a decision-maker, the fuzzy logic is integrated with the AHP and GRA. Findings The contributions of the paper to the literature are given in two dimensions as follows: it presents an integrated approach for complex decision processes with subjective data or vague information; the proposed approach, the fuzzy AHP-GRA method for energy source selection, is unique for the related problem in literature. The results of the proposed model from the case of Turkey will help practitioners and experts of how to apply it to the similar problems in the field of energy management. Social implications On the other hand, the proposed approach, the fuzzy AHP-GRA for energy source selection can also be an intelligent tool for public and private energy companies in Turkey, as well as others in the world. Originality/value On the other hand, in this paper, to the best of the authors' knowledge, the study contributes to the literature that the first time, they use the fuzzy alpha-cut AHP and GRA in fuzzy environment for energy source evaluation problem.en_US
dc.identifier.citation17
dc.identifier.doi10.1108/IJESM-09-2018-0012en_US
dc.identifier.endpage58en_US
dc.identifier.issn1750-6220en_US
dc.identifier.issn1750-6239en_US
dc.identifier.issn1750-6220
dc.identifier.issn1750-6239
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85069439050en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage40en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/2879
dc.identifier.urihttps://doi.org/10.1108/IJESM-09-2018-0012
dc.identifier.volume14en_US
dc.identifier.wosWOS:000506188300003en_US
dc.identifier.wosqualityN/A
dc.institutionauthorAyaǧ, Zekien_US
dc.institutionauthorSamanlıoğlu, Fundaen_US
dc.language.isoenen_US
dc.publisherEMERALD GROUP PUBLISHING LTDen_US
dc.relation.journalInternational Journal of Energy Sector Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFuzzy logicen_US
dc.subjectGrey relational analysisen_US
dc.subjectAnalytic hierarchy processen_US
dc.subjectMultiple-criteria decision-makingen_US
dc.subjectEnergy source evaluationen_US
dc.titleFuzzy AHP-GRA approach to evaluating energy sources: a case of Turkeyen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication4e74c274-0592-4792-ac57-00061bd273aa
relation.isAuthorOfPublication08cbab4b-8ed5-48fe-bb67-0488cc0af5a3
relation.isAuthorOfPublication.latestForDiscovery4e74c274-0592-4792-ac57-00061bd273aa

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