An input relaxation model for evaluating congestion in fuzzy DEA

Hooshang Kheirollahi, Peyman Hessari, Vincent Charles, Rasoul Chawshini

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9 Scopus citations


© 2017 Croatian Operational Research Society.This paper develops a BCC input relaxation model for identifying input congestion as a severe form of inefficiency of decision-making units in fuzzy data envelopment analysis. The possibility approach is presented to obtain the models equivalent to fuzzy models. We use a one-model approach to determine input congestion based on the BCC input relaxation model. A numerical example is given to illustrate the proposed model and identify the congestion with precise and imprecise data. The proposed model is also used to determine the congestion in 16 hospitals using four fuzzy inputs and two fuzzy outputs with a symmetrical triangular membership function.
Original languageSpanish
Pages (from-to)391-408
Number of pages18
JournalCroatian Operational Research Review
StatePublished - 1 Jan 2017

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