International Journal of Business and Economic Development
ISSN 2051-848X (Print) ISSN 2051-8498 (Online)
Volume 5 Number 1 March 2017

Rank reversal phenomenon in cross-efficiency evaluation of data envelopment analysis

Yong B. Shin

Francis Marion University, South Carolina, USA.


Multiple Criteria Decision Making (MCDM), Cross-efficiency Data Envelopment Analysis (DEA), Rank reversal, and Least Common Multiple (LCM)


This paper presents that the rank reversal occurs in other popular MCDM approach as well, cross-efficiency evaluation of data envelopment analysis (DEA), which has been alternative method for ranking decision making units (DMU) in the data envelopment analysis (DEA). This paper also attempts to illustrate that the proposed least common multiple (LCM) approach successfully addresses these rank reversal problems in decision support systems area.

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This work is licensed under a Creative Commons Attribution 3.0 unported (CC BY 3.0)

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