期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 81, 期 -, 页码 14-21出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2014.12.020
关键词
Data envelopment analysis; Ranking; Cross-efficiency; Maximum appreciation; Preference voting; Ordered weighted averaging
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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