Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 81, Issue -, Pages 14-21Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2014.12.020
Keywords
Data envelopment analysis; Ranking; Cross-efficiency; Maximum appreciation; Preference voting; Ordered weighted averaging
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Ranking decision making units (DMUs) is one of the most important applications of data envelopment analysis (DEA). In this paper, we exploit the power of individual appreciativeness in developing a methodology that combines cross-evaluation, preference voting and ordered weighted averaging (OWA). We show that each stage of the proposed methodology enhances discrimination among DMUs while offering more flexibility to the decision process. Our approach is illustrated through an example involving 15 baseball players. (C) 2014 Elsevier Ltd. All rights reserved.
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