A Geometrical Approach for Fuzzy Dea Frontiers

نویسندگان

  • Luiz Biondi Neto
  • Francisco Xavier
  • Lidia Angulo Meza
  • Eliane Gonçalves Gomes
چکیده

Interval DEA frontiers are here used in situations 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 fuzzy relationships to introduce a new efficiency index based on a set of some Fuzzy T Norms. We will explore only the case where only one single variable presents a certain degree of uncertainty.

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تاریخ انتشار 2009