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How to cite this paper
APA: vaisi, B. (2012). The superiority of DEAGP in ranking decision making units over DEA-AHP method: Utilizing relative closeness to ideal decision making units. Management Science Letters, 2(8), 2903-2908.
Chicago/Turabian: vaisi, B. 2012. "The superiority of DEAGP in ranking decision making units over DEA-AHP method: Utilizing relative closeness to ideal decision making units." Management Science Letters 2, no. 8 (2012): 2903-2908.
AMA: vaisi, B. The superiority of DEAGP in ranking decision making units over DEA-AHP method: Utilizing relative closeness to ideal decision making units. Management Science Letters. 2012;2(8):2903-2908.
References
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Bal, H., & ?rkcü, H.H. (2007). A goal programming approach to weight dispersion in data envelopment analysis. G.U. Journal of Science, 20(4), 117-125.
Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Kao, C., Hung, H.T. (2005). Data envelopment analysis with common weights: the compromise solution approach. Journal of the Operational Research Society, 56, 1196-1203.
Karsak, E. E., & Ahiska, S. S. (2005). Practical common weight multi criteria decision making approach with an improved discriminating power for technology selection. International Journal of Production Research, 43(8), 1537-1554.
Lewis, H. F. (2011). Using DEA factor efficiency scores to eliminate subjectivity in goal programming. Advances in Operations Research,Volume 2011, Article ID 259439, 18 pages.
Liu, F.H., Peng, H.H., Chang, H.W. (2006). Ranking DEA efficient units with the most compromising common weights. ORSC & APORC, 219-234.
Makui, A., Alinezhad, A., Kiani Mavi, R., & Zohrehbandian, M. (2008). A goal programming method for finding common weights in DEA with an improved discriminating power for efficiency. Journal of Industrial and Systems Engineering, 1(4), 293-303.
?rkcü, H.H., & Bal, H. (2011). Goal programming approaches for data envelopment analysis cross efficiency evaluation. Appllied Mathematics and Computations, 218 (2), 346-356.
Romero, C. (1991). Hand book of critical issues in goal programming. Pergamon Press.
Talluri, S. (2000). Data envelopment analysis: Models and extensions. Holy S. Lewis, Feature Editor, Pennsylvania State university.
Vaisi, B. (2009). Achieving common set of weights in data envelopment analysis by using multiple criteria decision making. Proceeding of the 2th International conference of Iranian Operations Research Society, Babolsar University.
Wang, Y.M., Luo, Y. (2006). DEA efficiency assessment using ideal and anti-ideal decision making units. Applied Mathematics and Computation, 173, 902–915.
Zarei, A., Mehdiabadi, A., & Javidnia, M. (2012). Measuring the units efficiency using an integrated DEA–AHP method: A case study of rivet producer. Management Science Letters, 2, 189–196.
Bal, H., & ?rkcü, H.H. (2007). A goal programming approach to weight dispersion in data envelopment analysis. G.U. Journal of Science, 20(4), 117-125.
Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Kao, C., Hung, H.T. (2005). Data envelopment analysis with common weights: the compromise solution approach. Journal of the Operational Research Society, 56, 1196-1203.
Karsak, E. E., & Ahiska, S. S. (2005). Practical common weight multi criteria decision making approach with an improved discriminating power for technology selection. International Journal of Production Research, 43(8), 1537-1554.
Lewis, H. F. (2011). Using DEA factor efficiency scores to eliminate subjectivity in goal programming. Advances in Operations Research,Volume 2011, Article ID 259439, 18 pages.
Liu, F.H., Peng, H.H., Chang, H.W. (2006). Ranking DEA efficient units with the most compromising common weights. ORSC & APORC, 219-234.
Makui, A., Alinezhad, A., Kiani Mavi, R., & Zohrehbandian, M. (2008). A goal programming method for finding common weights in DEA with an improved discriminating power for efficiency. Journal of Industrial and Systems Engineering, 1(4), 293-303.
?rkcü, H.H., & Bal, H. (2011). Goal programming approaches for data envelopment analysis cross efficiency evaluation. Appllied Mathematics and Computations, 218 (2), 346-356.
Romero, C. (1991). Hand book of critical issues in goal programming. Pergamon Press.
Talluri, S. (2000). Data envelopment analysis: Models and extensions. Holy S. Lewis, Feature Editor, Pennsylvania State university.
Vaisi, B. (2009). Achieving common set of weights in data envelopment analysis by using multiple criteria decision making. Proceeding of the 2th International conference of Iranian Operations Research Society, Babolsar University.
Wang, Y.M., Luo, Y. (2006). DEA efficiency assessment using ideal and anti-ideal decision making units. Applied Mathematics and Computation, 173, 902–915.
Zarei, A., Mehdiabadi, A., & Javidnia, M. (2012). Measuring the units efficiency using an integrated DEA–AHP method: A case study of rivet producer. Management Science Letters, 2, 189–196.