A Goal Programming Approach to Weight Dispersion in Data Envelopment Analysis

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Gazi University Journal of Science
Volume:20 Issue:4
A Goal Programming Approach to Weight Dispersion in Data Envelopment Analysis

A Goal Programming Approach to Weight Dispersion in Data Envelopment Analysis

Authors : Hasan BAL, H Hasan ÖRKÇÜ

Pages : 117-125

View : 51 | Download : 10

Publication Date : 2010-03-28

Article Type : Other Papers

Abstract :In this study, a multi-criteria data envelopment analysis insert ignore into journalissuearticles values(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.
Keywords : Data envelopment analysis, weight dispersion, pre emptive goal programming, coefficient of variation

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