A directional distance function approach to void the non-Archimedean in DEA

Rolf Färe, Vincent Charles

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

5 Citas (Scopus)


Over the past years, the data envelopment analysis (DEA) methodology has registered widespread use among researchers from many fields. Furthermore, it is important to note that the non-Archimedean infinitesimal, ϵ, is a key concept in DEA models. Nevertheless, it is known that some computational difficulties arise when using ϵ in DEA. In this short communication, we show how the non-Archimedean may be voided using a directional distance function approach. Thus, our approach avoids choosing a real number (10-5 or 10-6) as a value for ϵ or estimating the same.
Idioma originalEspañol
Páginas (desde-hasta)772-775
Número de páginas4
PublicaciónJournal of the Operational Research Society
EstadoPublicada - 4 may. 2018

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