An input relaxation model for evaluating congestion in fuzzy DEA

Hooshang Kheirollahi, Peyman Hessari, Vincent Charles, Rasoul Chawshini

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

9 Citas (Scopus)

Resumen

© 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.
Idioma originalEspañol
Páginas (desde-hasta)391-408
Número de páginas18
PublicaciónCroatian Operational Research Review
Volumen8
EstadoPublicada - 1 ene. 2017

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