Mostrar el registro sencillo del ítem

Artículo

dc.creatorArana Jiménez, Manueles
dc.creatorSánchez Gil, María Carmenes
dc.creatorLozano Segura, Sebastiánes
dc.date.accessioned2022-09-19T16:52:19Z
dc.date.available2022-09-19T16:52:19Z
dc.date.issued2022-04
dc.identifier.citationArana Jiménez, M., Sánchez Gil, M.C. y Lozano, S. (2022). A fuzzy DEA slacks-based approach. Journal of Computational and Applied Mathematics, 404, 113180.
dc.identifier.issn0377-0427es
dc.identifier.issn1879-1778es
dc.identifier.urihttps://hdl.handle.net/11441/137217
dc.description.abstractThis paper deals with the problem of efficiency assessment using Data Envelopment Analysis (DEA) when the input and output data are given as fuzzy sets. In particular, a fuzzy extension of the measure of inefficiency proportions, a well-known slacks-based additive inefficiency measure, is considered. The proposed approach also provides fuzzy input and output targets. Computational experiences and comparison with other fuzzy DEA approaches are reported.es
dc.description.sponsorshipMINECO, España MTM2017-89577-Pes
dc.description.sponsorshipMinisterio de Economía y Competitividad AYA2016-75931-C2-1-Pes
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades PGC2018-095786-B-I00es
dc.formatapplication/pdfes
dc.format.extent12 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofJournal of Computational and Applied Mathematics, 404, 113180.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRelative efficiencyes
dc.subjectFuzzy dataes
dc.subjectDEAes
dc.subjectMeasure of inefficiency proportionses
dc.subjectFuzzy targetses
dc.titleA fuzzy DEA slacks-based approaches
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas Ies
dc.relation.projectIDMTM2017-89577-Pes
dc.relation.projectIDAYA2016-75931-C2-1-Pes
dc.relation.projectIDPGC2018-095786-B-I00es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0377042720304714?via%3Dihubes
dc.identifier.doi10.1016/j.cam.2020.113180es
dc.journaltitleJournal of Computational and Applied Mathematicses
dc.publication.volumen404es
dc.publication.initialPage113180es

FicherosTamañoFormatoVerDescripción
CAM-D-20-00070_R1_accepted.pdf529.6KbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional