Preprocessing DEA

Computers and Operations Research

Volumn 36, Issue 4, 2009, Pages 1204-1220

  Dula J H ^a   Lopez F J ^b  

^a VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^b MIDDLE GEORGIA STATE UNIVERSITY   (United States)

Author keywords

Computational geometry; DEA; DEA computations; Linear programming

Indexed keywords

DATA ENVELOPMENT ANALYSIS; LINEAR PROGRAMMING; LINEARIZATION;

APPLICATIONS.; COMPREHENSIVE STUDIES; COMPUTATIONAL BURDENS; COMPUTATIONAL TOOLS; DEA; DEA COMPUTATIONS; LARGE-SCALE; PRE-PROCESSING; PREPROCESSING METHODS; PREPROCESSORS;

COMPUTATIONAL GEOMETRY;

EID: 54449101272     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2008.01.004     Document Type: Article

References (17)

1. Charnes A., Cooper W.W., and Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research 2 6 (1978) 429-444
2. Sueyoshi T., and Chang Y.-L. Efficient algorithm for additive and multiplicative models in data envelopment analysis. Operations Research Letters 8 (1989) 205-213
3. Sueyoshi T. A special algorithm for an additive model in data envelopment analysis. Journal of the Operational Research Society 3 (1990) 249-257
4. Ali A.I. Streamlined computation for data envelopment analysis. European Journal of Operational Research 64 (1993) 61-67
5. Chen Y., and Ali A.I. Output-input ratio analysis and DEA frontier. European Journal of Operational Research 142 (2002) 476-479
6. Charnes A., Cooper W.W., Golany B., Seiford L., and Stutz J. Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. Journal of Econometrics 30 (1985) 91-107
7. Briec W. Hölder distance function and measurement of technical efficiency. Journal of Productivity Analysis 11 (1998) 111-131
8. Barr R.S., and Durchholz M.L. Parallel and hierarchical decomposition approaches for solving large-scale data envelopment analysis models. Annals of Operations Research 73 (1997) 339-372
9. Dulá JH. A computational study with DEA with massive data sets. Computers & Operations Research 2008;35(4):1191-203.
10. Siems TF, Barr RS. Benchmarking the productive efficiency of U.S. Banks. Financial Industry Studies, Federal Reserve Bank of Dallas, 〈http://www.dallasfed.org/htm/pubs/fis.html〉; December 1998.
11. Federal Financial Institutions Examination Council (FFIEC). Report of Condition and Income, 〈http://www.chicagofed.org/economic_research_and_data/weekly_report_of_assets_and_liabilities.cfm〉; 2004.
12. Wilson P.W., and Wheelock D.C. Why do banks disappear? The determinants of US bank failures and acquisitions. Review of Economics and Statistics 82 (2000) 127-138
13. Dulá J.H., and López F.J. Algorithms for the frame of a finitely generated unbounded polyhedron. INFORMS Journal on Computing 18 (2006) 97-110
14. Dulá J.H., Helgason R.V., and Hickman B.L. Preprocessing schemes and a solution method for the convex hull problem in multidimensional space. In: Balci O. (Ed). Computer science and operations research: new developments in their interfaces (1992), Pergamon Press, UK 59-70
15. Shaheen M, Frame of a pointed finite polyhedral cone. MSc thesis, Department of Economics, Mathematics, and Statistics at the University of Windsor, 2000, Windsor, Ont., Canada.
16. López FJ, Dulá JH. Adding and removing an attribute in a DEA model: theory and processing. Journal of the Operational Research Society, in press.
17. Rockafellar R.T. Convex analysis (1970), Princeton University Press, Princeton, NJ