Abstract
Data Envelopment Analysis (DEA) introduces a model for weights determination maximizing efficiency of the decision-making units. The primary focus of the DEA model is to compare decision-making units (alternatives) in terms of their efficiency in converting inputs into outputs. A multicriteria decision making (MCDM) method uses a common set of weights that express a decision maker’s preferences. In contrast, the DEA does not provide a common set of weights that could express the preferences of a decision maker. A comparison of DEA and MCDM shows that DEA resembles MCDM, but the results differ. In spite of these differences, DEA could be used as a supplement for screening alternatives within MCDM.
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© 2003 Springer-Verlag Berlin Heidelberg
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Opricovic, S., Tzeng, GH. (2003). Comparing DEA and MCDM Method. In: Multi-Objective Programming and Goal Programming. Advances in Soft Computing, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36510-5_32
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DOI: https://doi.org/10.1007/978-3-540-36510-5_32
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