Cross-Efficiency Evaluation Based on an Interval Method
محورهای موضوعی : International Journal of Data Envelopment AnalysisM Khodadadi 1 , Ghasem Tohidi 2
1 - Department of Mathematics, Urmia Branch, Islamic Azad University, Urmia, Iran
2 - Department of Mathematics, Islamic Azad University, Central Tehran Branch, Iran
کلید واژه: Data envelopment analysis (DEA, Cross-efficiency evaluation, Interval numbers,
چکیده مقاله :
In data envelopment analysis (DEA), several secondary goals have already been proposed in order to overcome the problem of the DEA alternative optimal weights in the cross-efficiency evaluation. However, in the presence of different secondary goals, the rank assigned to some of decision making units (DMUs) may be non-unique. To overcome the shortcomings, this paper considers the elements of cross-efficiency matrix as interval numbers based on maximum and minimum cross-efficiency that each of the DMUs can achieve. Then, the study using a formula reorders the aggregated interval numbers in each row of the cross-efficiency matrix, and obtains the rank of each of DMUs. The new method removes the problem of the DEA alternative optimal weights in the cross-efficiency evaluation. Moreover, it provides a distinct and unique rank to each of the DMUs. Ultimately, the usefulness of the proposed method in comparison with the previous methods is demonstrated by using a numerical example.
[1] Charnes, A., Cooper, W.W., Rhodes, E., Measuring the efficiency of decision making units, Eur. J. Oper. Res. 2, 429–444, 1978.
[2] Adler, N., Friedman, L., Sinuany-Stern, Z., Review of ranking methods in data envelopment analysis context, Eur. J. Oper. Res. 140, 249–265, 2002.
[3] Sexton, T.R., Silkman, R.H., Hogan, A.J., Data envelopment analysis: critique and extensions, 1986, in: Silkman, R.H. (Eds.), Measuring Efficiency: An Assessment of Data Envelopment Analysis. Jossey-Bass, San Francisco, pp. 73–150.