Some clarifications on the DEA clustering approach

Gholam R. Amin; Ali Emrouznejad; S. Rezaei

doi:10.1016/j.ejor.2011.06.043

Some clarifications on the DEA clustering approach

Gholam R. Amin, Ali Emrouznejad, S. Rezaei

Operations & Information Management

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Abstract

This paper clarifies the role of alternative optimal solutions in the clustering of multidimensional observations using data envelopment analysis (DEA). The paper shows that alternative optimal solutions corresponding to several units produce different groups with different sizes and different decision making units (DMUs) at each class. This implies that a specific DMU may be grouped into different clusters when the corresponding DEA model has multiple optimal solutions. © 2011 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	498-501
Number of pages	4
Journal	European Journal of Operational Research
Volume	215
Issue number	2
DOIs	https://doi.org/10.1016/j.ejor.2011.06.043
Publication status	Published - 1 Dec 2011

Keywords

data envelopment analysis
clustering
alternative optimal solutions

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10.1016/j.ejor.2011.06.043

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abstract = "This paper clarifies the role of alternative optimal solutions in the clustering of multidimensional observations using data envelopment analysis (DEA). The paper shows that alternative optimal solutions corresponding to several units produce different groups with different sizes and different decision making units (DMUs) at each class. This implies that a specific DMU may be grouped into different clusters when the corresponding DEA model has multiple optimal solutions. {\textcopyright} 2011 Elsevier B.V. All rights reserved.",

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AB - This paper clarifies the role of alternative optimal solutions in the clustering of multidimensional observations using data envelopment analysis (DEA). The paper shows that alternative optimal solutions corresponding to several units produce different groups with different sizes and different decision making units (DMUs) at each class. This implies that a specific DMU may be grouped into different clusters when the corresponding DEA model has multiple optimal solutions. © 2011 Elsevier B.V. All rights reserved.

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KW - alternative optimal solutions

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Some clarifications on the DEA clustering approach

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Keywords

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