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.