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dc.contributor.authorBIONDI NETO, L.pt_BR
dc.contributor.authorMELLO, J. C. C. B. S. dept_BR
dc.contributor.authorMEZA, L. A.pt_BR
dc.contributor.authorGOMES, E. G.pt_BR
dc.date.accessioned2011-04-09T12:49:11Z-
dc.date.available2011-04-09T12:49:11Z-
dc.date.created2010-03-02pt_BR
dc.date.issued2009pt_BR
dc.identifier.citationIN: SIMPÓSIO BRASILEIRO DE PESQUISA OPERACIONAL, 41., 2009, Porto Seguro.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/659429pt_BR
dc.descriptionInterval DEA frontiers are here used in situation where one input or output is subject to uncertainty in its measurement and is presented as an interval data. We built an efficient frontier without any assumption about the probability distribution function of the imprecise variable. We take into account only the minimum and the maximum values of each imprecise variable. Two frontiers are constructed: the optimistic and the pessimistic ones. We use fuzszy relationships to introduce a new efficiency index based on a set of some Fuzzy T Norms. We will explore only the case where only on single variable presents a certain degree of uncertainty.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectData envelopment analysispt_BR
dc.subjectFuzzy setspt_BR
dc.subjectInterval datapt_BR
dc.titleA geometrical approach for fuzzy DEA frontiers.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2011-04-10T11:11:11Zpt_BR
riaa.ainfo.id659429pt_BR
riaa.ainfo.lastupdate2010-07-08pt_BR
dc.contributor.institutionLUIZ BIONDI NETO, UNIVERSIDADE ESTADUAL DO RIO DE JANEIRO; JOÃO CARLOS C. B. SOARES DE MELLO, UNIVERSIDADE FEDERAL FLUMINENSE; LIDIA ANGULO MEZA, UNIVERSIDADE FEDERAL FLUMINENSE; ELIANE GONCALVES GOMES, SGE.pt_BR
Aparece en las colecciones:Artigo em anais de congresso / Embrapa Unidades Centrais (AI-SEDE)

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