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dc.contributor.authorHajiagha, Seyed Hossein Razavi
dc.contributor.authorAkrami, Hadi
dc.contributor.authorKazimieras Zavadskas, Edmundas
dc.contributor.authorHashemi, Shide Sadat
dc.date.accessioned2016-01-19T10:48:55Z
dc.date.available2016-01-19T10:48:55Z
dc.date.issued2013
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2013, č. 1, s. 128-137.cs
dc.identifier.issn1212-3609 (Print)
dc.identifier.issn2336-5604 (Online)
dc.identifier.urihttp://www.ekonomie-management.cz/download/1404721033_25b7/2013_1+An+Intuitionistic+Fuzzy+Data+Envelopment+Analysis+for+Affeciency+Evaluation+Under+Uncertainty+Case+of+a+Finance+and+Credit+Institution.pdf
dc.identifier.urihttp://hdl.handle.net/11025/17491
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.relation.ispartofseriesE+M. Ekonomie a Management = Economics and Managementcs
dc.rights© Technická univerzita v Libercics
dc.rightsCC BY-NC 4.0cs
dc.subjecthodnocení výkonucs
dc.subjectanalýza obalu datcs
dc.subjectmodel BCCcs
dc.subjectintuicionistické fuzzy množinycs
dc.subjectoperátor agregacecs
dc.titleAn intuitionistic fuzzy data envelopment analysis for efficiency evaluation under ucertainty: case of a finance and credit institutionen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedPerformance evaluation is a challenging issue for managers. Data envelopment analysis is a non parametric and linear programming based approach to appraise the relative efficiency of a set of congruent units. One of the shortcomings of classic data envelopment model is their crispness of data. In this paper, a data envelopment model is extended in which inputs and outputs are ambiguous and are expressed in the form of intuitionistic fuzzy sets. The proposed method is extended based on a weighted aggregation operator which is defined for intuitionistic fuzzy data. This model applied the advantages of intuitionistic fuzzy data in capturing the uncertainty. The main advantages of the proposed method are its simplicity and consistency with classic models. The proposed method is applied in a real instance and its results are examined.en
dc.subject.translatedperformance evaluationen
dc.subject.translateddata envelopment analysisen
dc.subject.translatedBCC modelen
dc.subject.translatedintuitionistic fuzzy setsen
dc.subject.translatedaggregation operatoren
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Číslo 1 (2013)
Číslo 1 (2013)



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