Title
Fuzzy rough DEA model: A possibility and expected value approaches
Date Issued
01 January 2014
Access level
metadata only access
Resource Type
journal article
Author(s)
Abstract
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.
Start page
434
End page
444
Volume
41
Issue
2
Language
English
OCDE Knowledge area
Ciencias de la computación
Hardware, Arquitectura de computadoras
Subjects
Scopus EID
2-s2.0-84885954796
Source
Expert Systems with Applications
ISSN of the container
09574174
Sources of information:
Directorio de Producción Científica
Scopus