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Efficiency assessment using fuzzy production possibility set and enhanced Russell Graphmeasure

dc.contributor.authorArana Jiménez, Manuel 
dc.contributor.authorSánchez Gil, María del Carmen 
dc.contributor.authorLozano, Sebastián
dc.contributor.authorYounesi, Atefeh 
dc.contributor.otherEstadística e Investigación Operativaes_ES
dc.date.accessioned2022-03-14T12:49:15Z
dc.date.available2022-03-14T12:49:15Z
dc.date.issued2022-03
dc.identifier.issn2238-3603
dc.identifier.issn1807-0302 (internet)
dc.identifier.urihttp://hdl.handle.net/10498/26425
dc.description.abstractThis paper studies the efficiency assessment of Decision Making Units (DMUs) when their inputs and outputs are fuzzy sets. An axiomatic derivation of the fuzzy production possibility set is presented and a fuzzy enhanced Russell graph measure is formulated using a fuzzy arithmetic approach. The proposed approach uses polygonal fuzzy sets and LU-fuzzy partial orders, and provides crisp efficiency measures (and associated efficiency ranking) as well as fuzzy efficient targets. The proposed approach has been compared with other fuzzy DEA approaches on different datasets from the literature, and the results show that it has more discriminant power and more flexibility in modelling the input and output data.es_ES
dc.description.sponsorshipThe first author was partially supported by the research project MTM2017-89577-P (MINECO, Spain). The second author was partially supported by Spanish Ministry of Economy and Competitiveness through grants AYA2016-75931-C2-1-P, and from the Consejeria de Educacion y Ciencia (Junta de Andalucia) through TIC-101. The third author acknowledges the financial support of the Spanish Ministry of Science, Innovation and Universities, grant PGC2018-095786-B-I00.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherSPRINGER HEIDELBERGes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceComp. Appl. Math. 41, 79 (2022)es_ES
dc.subjectEfficiencyes_ES
dc.subjectFuzzy dataes_ES
dc.subjectFuzzy production possibility setes_ES
dc.subjectFuzzy enhanced Russell graph measurees_ES
dc.subjectFuzzy efficient targetses_ES
dc.titleEfficiency assessment using fuzzy production possibility set and enhanced Russell Graphmeasurees_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1007/s40314-022-01780-y
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89577-P/ES/ORDENACIONES ESTOCASTICAS APLICADAS A LOS SEGUROS, LAS FINANZAS Y LA FIABILIDAD DE SISTEMAS/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//AYA2016-75931-C2-1-Pes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Andalucía//TIC-101/ES/Sistemas Estelares/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-095786-B-I00/ES/DECISIONES COLECTIVAS EN CONTEXTOS COMPETITIVOS Y COOPERATIVOS/es_ES


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Atribución 4.0 Internacional
This work is under a Creative Commons License Atribución 4.0 Internacional