Using of fractional factorial design (rk-p) in data envelopment analysis to selection of outputs and inputs

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dc.contributor.authorBayrak, Hulya
dc.contributor.authorJarjies, Oday
dc.contributor.authorDurukan, Kubra
dc.date.accessioned2020-06-25T18:13:09Z
dc.date.available2020-06-25T18:13:09Z
dc.date.issued2015
dc.departmentKırıkkale Üniversitesi
dc.description.abstractData envelopment analysis (DEA) is a linear programming based technique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparisons difficult. We used, Morita and Avkiran propose after it has been developed an input-output selection method that uses fractional factorial design, which is a statistical approach to find an optimal combination. Energy efficiency and greenhouse gas emissions are closely linked in the last two decades. We demonstrate the proposed method using data that increase energy efficiency and heating gas emissions in the European Union (EU) countries.en_US
dc.identifier.citationBayrak, H. , Jarjies, O. & Durukan, K. (2015). Using of fractional factorial design (r k−p ) in data envelopment analysis to selection of outputs and inputs . Hacettepe Journal of Mathematics and Statistics , 44 (3) , 679-687 .en_US
dc.identifier.endpage687en_US
dc.identifier.issn1303-5010
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84961564417
dc.identifier.scopusqualityQ2
dc.identifier.startpage679en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/6138
dc.identifier.volume44en_US
dc.identifier.wosWOS:000362715400017
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherHacettepe Univ, Fac Scien_US
dc.relation.ispartofHacettepe Journal Of Mathematics And Statistics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectData Envelopment Analysis (DEA)en_US
dc.subjectDecision-Making Unit (DMU)en_US
dc.subjectFractional Factorial Designen_US
dc.subjectMahalanobis Fistance (MD)en_US
dc.titleUsing of fractional factorial design (rk-p) in data envelopment analysis to selection of outputs and inputsen_US
dc.typeArticle

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