TITLE

A Goal Programming Approach to Weight Dispersion in Data Envelopment Analysis

AUTHOR(S)
Bal, Hasan; Örkcü, H. Hasan
PUB. DATE
October 2007
SOURCE
Gazi University Journal of Science;Oct2007, Vol. 20 Issue 4, p117
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In this study, a multi-criteria data envelopment analysis (MCDEA) model, used in the literature to moderate the homogeneity of weights dispersion, is solved using pre-emptive goal programming. The MCDEA model solved using pre-emptive goal programming gives the same relative efficiency as the classical DEA model while it improves the homogeneity of input-output weights. This conclusion is confirmed by the computational results obtained when the two models are applied to a real data set relative to the socio-economic performances of European countries and to randomly generated instances with various numbers of decision making units, inputs and outputs.
ACCESSION #
27070898

 

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