Fuzzy rough DEA model: A possibility and expected value approaches

Rashed Khanjani Shiraz, Vincent Charles, Leila Jalalzadeh

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

48 Citas (Scopus)

Resumen

Uncertainty is certain in the world of uncertainty. Measuring the performance of any entity in such an uncertain environment is unavoidable. Fuzzy rough data envelopment analysis (FRDEA) provides a room to evaluate the relative efficiency of homogenous entities, widely known as decision making units (DMUs) in the data envelopment analysis (DEA) literature. This paper attempts to create a fuzzy rough DEA model by integrating the classical DEA, fuzzy set theory, and rough set theory, which apparently provide a way to accommodate the uncertainty. Moreover, in contrast to the probability approach, this paper provides a pavement to measure the relative efficiency of any given DMUs in line with the possibility approach along with the fuzzy rough expected value operator. © 2012 Elsevier B.V. All rights reserved.
Idioma originalEspañol
Páginas (desde-hasta)434-444
Número de páginas11
PublicaciónExpert Systems with Applications
Volumen41
EstadoPublicada - 1 ene. 2014

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