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Title: A fuzzy data envelopment analysis approach based on parametric programming
Authors: Hajiagha, Seyed Hossein Razavi
Mahdiraji, Hannan Amoozad
Zavadskas, Edmundas Kazimieras
Hashemi, Shide Sadat
Keywords: Data envelopment analysis
Fuzzy numbers
Parametric programming
Issue Date: 2013
Publisher: Agora University Editing House
Citation: Hajiagha, S.H.R.; Mahdiraji, H.A.; Zavadskas, E.K.; Hashemi, S.S. 2013. A fuzzy data envelopment analysis approach based on parametric programming, International Journal of Computers, Communications & Control (IJCCC) 8(4): 594-607
Series/Report no.: Vol. 8; iss. 4 (2013)
Abstract: In this paper, a fuzzy version of original data envelopment models, CCR and BCC, is extended and its solution approach is developed. The basic idea of the proposed method is to transform the original DEA model to an equivalent linear parametric programming model, applying the notion of α-cuts. Then, a bi-objective model is constructed which its solution has determined the optimal range of decision making units efficiency. The proposed method can be used both for symmetric and asymmetric fuzzy numbers, while the feasibility of its solution for the original problem is guaranteed. The application of the proposed method is examined in two numerical examples and its results are compared with two current models of fuzzy DEA.
ISSN: 1841-9836
Appears in Collections:Moksliniai straipsniai / Research articles

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