KaydedilenlerDerginizi ekleyin

Dergiler / Gazi University Journal of Science / 2012 / Cilt: 25 - Sayı: 1

A New Approach To Cross Efficiency In Data Envelopment Analysis and Performance Evaluation of Turkey Cities

H.hasan ÖRKCÜ
Hasan BAL
Sayfa
107–117
Yayın Tarihi
2012-01-24
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Key Words: Data envelopment analysis, cross efficiency, ranking.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The cross-efficiency evaluation (CEE) method, which was developed as a contribution to classical Data Envelopment Analysis (DEA), has been successively used to solve problems involving unrealistic weight distribution as well as problems that do not require prior information for ranking the decision making units (DMUs).
📊
Temel Bulgular & Veri:The performance of the proposed model is examined on real data set relative to the efficiencies of Turkey cities.
💡
Sonuç & Katkı:Key Words: Data envelopment analysis, cross efficiency, ranking.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Data envelopment analysis · cross efficiency · ranking.

Abstract

The cross-efficiency evaluation (CEE) method, which was developed as a contribution to classical Data Envelopment Analysis (DEA), has been successively used to solve problems involving unrealistic weight distribution as well as problems that do not require prior information for ranking the decision making units (DMUs). Originally, the CEE method included the efficiency evaluations that were obtained for a DMU by the classical DEA for the reuse of optimal weights in the other DMUs. As the optimal weights in the classical DEA solutions usually have multiple solutions, this reduces the usefulness of the CEE method. Hence, this study suggests a new technique that could be used in the second stage of the CEE method for removing the problem of multiple optimal weights and for determining the reasonable ranks of DMUs. The performance of the proposed model is examined on real data set relative to the efficiencies of Turkey cities. Key Words: Data envelopment analysis, cross efficiency, ranking.

🔖

Bu Makaleye Atıf Yap

ÖRKCÜ, H., BAL, H. (2012). A New Approach To Cross Efficiency In Data Envelopment Analysis and Performance Evaluation of Turkey Cities. Gazi University Journal of Science, Cilt: 25 - Sayı: 1, 107–117. https://ajindex.com/articles/255592

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (15)

  1. Adler,N., Friedman, L., Sinuany-Stern, Z., “Review of ranking methods in the data envelopment analysis context”, European Journal of Operational Research, 140: 249–265(2002).
  2. Andersen, P., Petersen, N., “A procedure for ranking efficient units in data envelopment analysis”, Management Science, 39(10): 1261–1264(1993.
  3. Anderson, T.R., Hollingsworth, K.B., Inman, L.B., “The fixed weighting nature of a cross evaluation model”, Journal of Productivity Analysis, 18(1): 249–255(2002).
  4. Bal, H., Örkcü, H.H., “A goal programming approach to weight dispersion problem in data envelopment analysis”, G.U. Journal of Science, 20(4): 117–125 (2007).
  5. Bal, H., Örkcü, H.H., Çelebioglu, S., “A new method based on dispersion of weights in data envelopment analysis”, Computers & Industrial Engineering 54(3): 502–512 (2008).
  6. Bal, H., Örkcü, H.H., Çelebioglu, S., “Improving the discrimination power and weights dispersion in the data envelopment analysis”, Computers & Operations Research, 37(1): 99–107 (2010).
  7. Charnes, A., Cooper, W.W., Rhodes, E., “Measuring the efficiency of decision making units”, European Journal of Operational Research, 2: 429-444 (1978).
  8. Cooper, W.W., Ruiz, J.L., Sirvent, I., “Choosing weights from alternative optimal solutions of dual multiplier dual models in DEA”, European Journal of Operational Research, 180: 443-458 (2007). Cooper,W.W., Ruiz, J.L., Sirvent, I., “Selecting non zero weights to evaluate effectiveness of basketball players with DEA”, European Journal of Operational Research 195: 563-574 (2009).
  9. Cooper, W.W., Seiford, L.M., Tone, K., “Data Envelopment Analysis”, Kluwer Academic Publishers,
  10. Boston, USA, (2000).
  11. Doyle, J.R., Green, R., “Efficiency and cross- efficiency in data envelopment analysis: derivatives, meanings and uses”, Journal of Operational Research Society, 45(5): 567-578 (1994).
  12. Jahanshahloo, G.R., Memariani, A., Hosseinzadeh, F., Shoja, N., “A feasible interval for weights in data envelopment analysis”, Applied Mathematics and Computation, 160:155–168 (2005).
  13. Li, X.B., Reeves, G.R., “A multiple criteria approach to data envelopment analysis”, European Journal of Operational Research, 115: 507-517 (1999).
  14. Liang, L., Wu, J., Cook, W.D., Zhu, J., “Alternative secondary goals in DEA cross efficiency evaluation”, International Journal of Production Economics, 113: 1025-1030 (2008).
  15. Meza, L.A., Lins, M.P.E., “Review of methods for increasing discrimination in data envelopment analysis”, Annals of Operations Research, 116: 225–242 (2