Improving the discrimination power and weights dispersion in the data envelopment analysis

Computers and Operations Research

Volumn 37, Issue 1, 2010, Pages 99-107

  Bal, Hasan ^a   Örkcü, H Hasan ^a   Çelebioǧlu, Salih ^a  

^a GAZI UNIVERSITY   (Turkey)

Author keywords

Data envelopment analysis; Discrimination power; Goal programming; Unit invariance

Indexed keywords

DECISION MAKING UNIT; DISCRIMINATION POWER; GOAL PROGRAMMING; INPUT-OUTPUT; MULTI-CRITERIA; MULTIPLE INPUTS; NEW MODEL; RELATIVE EFFICIENCY; UNIT INVARIANCE;

CELLULAR RADIO SYSTEMS; DECISION MAKING; LAW ENFORCEMENT; LINEAR PROGRAMMING;

DATA ENVELOPMENT ANALYSIS;

EID: 68249105449     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2009.03.028     Document Type: Article

References (28)

1. Charnes A., Cooper W.W., and Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research 2 (1978) 429-444
2. Andersen P., and Petersen N. A procedure for ranking efficient units in data envelopment analysis. Management Science 39 10 (1993) 1261-1264
3. Meza L.A., and Lins M.P.E. Review of methods for increasing discrimination in data envelopment analysis. Annals of Operations Research 116 (2002) 225-242
4. Li X.B., and Reeves G.R. A multiple criteria approach to data envelopment analysis. European Journal of Operational Research 115 (1999) 507-517
5. Baker R.C., and Talluri S. A closer look at the use of data envelopment analysis for technology selection. Computers and Industrial Engineering 32 1 (1997) 101-108
6. Sexton TR, Silkman RH, Hogan AJ. Data envelopment analysis: critique and extension. In: Silkman RH. (editor). Measuring efficiency: an assesment of data envelopment analysis, Jossey-Bass, San Fransisco, vol. 32, 1986, pp. 73-105.
7. Anderson T.R., Hollingsworth K.B., and Inman L.B. The fixed weighting nature of a cross evaluation model. Journal of Productivity Analysis 18 1 (2002) 249-255
8. Doyle J.R., and Green R. Efficiency and cross-efficiency in data envelopment analysis: derivatives, meanings and uses. Journal of Operational Research Society 45 5 (1994) 567-578
9. Charnes A., Cooper W.W., Huang Z.M., and Sun D.B. Polyhedral cone-ratio models with an illustrative application to large commercial banks. Journal of Econometrics 46 (1990) 73-91
10. Thompson R.G., Singleton F.G., Thrall R.M., and Smith B.A. Comparative site evaluations for locating a high-energy physics lab in texas. Interfaces 16 (1986) 35-49
11. Thompson R.G., Langemeier L.N., Lee C.T., and Thrall R.M. The role of multiplier bounds in efficiency analysis with application to kansas farming. Journal of Econometrics 46 (1990) 93-108
12. Wong Y.H.B., and Beasley J.E. Restricting weight flexibility in data envelopment analysis. Journal of the Operational Research Society 41 9 (1990) 829-835
13. Allen R., Athanassopoulos A., Dyson R.G., and Thanassoulis E. Weight restrictions and value judgement in data envelopment analysis: evolution, development and future directions. Annals of Operations Research 73 (1997) 13-34
14. Podinovski V.V., and Athanassopoulos A. Assessing the relative efficiency of decision making units in DEA models with weight restrictions. Journal of the Operational Research Society 49 (1998) 500-508
15. Halme M., Joro T., Korhonen P., Salo S., and Wallenius J. A value efficiency approach to incorporating preference information in data envelopment analysis. Management Science 45 (1999) 103-115
16. Jahanshahloo G.R., Memariani A., Hosseinzadeh F., and Shoja N. A feasible interval for weights in data envelopment analysis. Applied Mathematics and Computation 160 (2005) 155-168
17. Jahanshahloo G.R., and Damaneh M.S. A note on simulating weights restrictions in DEA: an improvement of Thanassoulis and Allen's method. Computers & Operations Research 32 (2005) 1037-1044
18. Kousmanen T., Cherchye L., and Sipilainen T. The law of one price in data envelopment analysis: restricting weight flexibility across firms. European Journal of Operational Research 170 (2006) 735-757
19. Bernroider E., and Stix V. A method using weight restrictions in data envelopment analysis for ranking and validity issues in decision making. Computers & Operations Research 34 (2007) 2637-2647
20. Podinovski V.V. Suitability and redundancy of non-homogeneous weight restrictions for measuring the relative efficiency in DEA. European Journal of the Operational Research 154 (2004) 380-395
21. Bal H., Örkcü H.H., and Çelebioǧlu S. A new method based on the dispersion of weights in data envelopment analysis. Computers and Industrial Engineering 54 3 (2008) 502-512
22. Cooper W.W., Seiford L.M., and Tone K. Data envelopment analysis (2000), Kluwer Academic Publishers, Boston, USA
23. Banker R.D., Charnes A., and Cooper W.W. Some models for estimating technical and scale efficiencies in data envelopment analysis. Management Science 30 (1984) 1078-1092
24. Ignizio J.P. Goal programming and extension (1976), Lexington Books, Lexington
25. Zeleny M. Multiple criteria decision making (1982), McGraw-Hill, New York, USA
26. Romero C., and Rehman T. Multiple criteria analysis for agricultural decisions (1989), Elseiver Science Publishing Company, New York, USA
27. Romero. Handbook of critical issues in goal programming (1991), Pergamon press, Oxford
28. 〈www.oecd.org〉.