Fuzzy Ahp-Gra Approach To Evaluating Energy Sources: a Case of Turkey

dc.contributor.author Ayağ, Zeki
dc.contributor.author Samanlıoğlu, Funda
dc.date.accessioned 2020-06-04T15:21:09Z
dc.date.available 2020-06-04T15:21:09Z
dc.date.issued 2020
dc.description.abstract Purpose 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.doi 10.1108/IJESM-09-2018-0012 en_US
dc.identifier.issn 1750-6220 en_US
dc.identifier.issn 1750-6239 en_US
dc.identifier.issn 1750-6220
dc.identifier.issn 1750-6239
dc.identifier.scopus 2-s2.0-85069439050 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/2879
dc.identifier.uri https://doi.org/10.1108/IJESM-09-2018-0012
dc.language.iso en en_US
dc.publisher EMERALD GROUP PUBLISHING LTD en_US
dc.relation.ispartof International Journal of Energy Sector Management
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Fuzzy logic en_US
dc.subject Grey relational analysis en_US
dc.subject Analytic hierarchy process en_US
dc.subject Multiple-criteria decision-making en_US
dc.subject Energy source evaluation en_US
dc.title Fuzzy Ahp-Gra Approach To Evaluating Energy Sources: a Case of Turkey en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Ayaǧ, Zeki en_US
gdc.author.institutional Samanlıoğlu, Funda en_US
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü en_US
gdc.description.endpage 58 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 40 en_US
gdc.description.volume 14 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W2963045090
gdc.identifier.wos WOS:000506188300003 en_US
gdc.index.type WoS
gdc.oaire.diamondjournal false
gdc.oaire.impulse 23.0
gdc.oaire.influence 3.5567478E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Fuzzy logic
gdc.oaire.keywords Multiple-criteria decision-making
gdc.oaire.keywords Analytic hierarchy process
gdc.oaire.keywords Grey relational analysis
gdc.oaire.keywords Energy source evaluation
gdc.oaire.popularity 2.4906882E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 3.56314893
gdc.openalex.normalizedpercentile 0.92
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 28
gdc.plumx.crossrefcites 28
gdc.plumx.mendeley 55
gdc.plumx.scopuscites 31
gdc.relation.journal International Journal of Energy Sector Management
gdc.scopus.citedcount 31
gdc.virtual.author Samanlıoğlu, Funda
gdc.virtual.author Ayağ, Zeki
gdc.wos.citedcount 25
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