A Slack-Based Model for Efficiency Evaluation in DEA and DEA-R

dc.contributor.authorHosseinzadeh Lotfi, F.
dc.contributor.authorAllahviranloo, T.
dc.contributor.authorPedrycz, W.
dc.contributor.authorMozaffari, M.R.
dc.contributor.authorGerami, J.
dc.date.accessioned2024-05-19T14:34:21Z
dc.date.available2024-05-19T14:34:21Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIn this chapter, we proposed the slack-based model (SBM) based on DEA-R models. We compare these models to SBM model in DEA. At first, we propose SBM DEA model in the multiple objective linear programming (MOLP). In the following, we convert them in linear programing. Also, we develop SBM DEA based on the central resource allocation (CRA) model. The new model obtains efficient targets for all DMUs. We use the proposed models for evaluation performance of commercial banks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.en_US
dc.identifier.doi10.1007/978-3-031-43181-4_6
dc.identifier.endpage116en_US
dc.identifier.issn2197-6503
dc.identifier.scopus2-s2.0-85175167545en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage103en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-43181-4_6
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4468
dc.identifier.volume138en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Big Dataen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectCommercial Banken_US
dc.subjectDea Modelsen_US
dc.subjectEfficiency Evaluationen_US
dc.subjectEvaluation Performanceen_US
dc.subjectLinear Programingen_US
dc.subjectModel-Based Opcen_US
dc.subjectMultiple Objective Linear Programmingen_US
dc.subjectR Modelsen_US
dc.subjectResource Allocation Modelen_US
dc.titleA Slack-Based Model for Efficiency Evaluation in DEA and DEA-Ren_US
dc.typeBook Chapteren_US

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