DEA with Common Set of Weights Based on a Multi Objective Fractional Programming problem

Seyyed Hossein Razavi Hajiagha, Shide Sadat Hashemi, Hannan Amoozad Mahdiraji

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Data envelopment analysis operates as a tool to appraise the relative
efficiency of a set of homogenous decision making units. DEA allows each DMU to take its optimal weight in comparison toother DMUs while a similar condition is considered for other units. This feature threats the comparability of different units because different weighting schemes are used for different DMUs. In this paper, a model is presented to determine a common set of weights to calculate DMUs efficiency. This model is developed based on a multi objective fractional linear programming model that considers the original DEA's results as ideal solution an
d seeks a set of common weights to evaluate DMUs and increases the model's discrimination power. A numerical example is solved and the proposed method's results are compared to some previous methods. This Comparison has shown the proposed method's advantages in ranking DMUs
Original languageEnglish
Pages (from-to)207-214
Number of pages8
JournalInternational Journal of Industrial Engineering & Production Research (IJIEPR)
Issue number3
Publication statusPublished - 1 Sept 2014
Externally publishedYes

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


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