A geometrical approach for fuzzy DEA frontiers.

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Author(s): BIONDI NETO, L.; MELLO, J. C. C. B. S. de; MEZA, L. A.; GOMES, E. G.

Summary: Interval 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.

Publication year: 2009

Types of publication: Paper in annals and proceedings

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