References
- Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092.
- Bogetoft, P., & Otto, L. (2011). Benchmarking with DEA, SFA, and R. International series in operations research & management science (Vol. 157). London: Springer.
- Chames, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.
- Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Handbook of data envelopment analysis. Boston, MA: Kluwer.
- Golany, B., & Roll, Y. (1989). An application procedure for DEA. Omega International Journal of Management Science, 17(3), 237–250.
- IDEAL. (2014). Software developed in the Federal University of Rio de Janeiro by prof Marcos Estellita Lins. Retrieved from http www.psigma.org.br
- Lins, M. P. E., Meza, L. A., & Silva, A. C. M. (2004). A multi-objective approach to determine alternative targets in data envelopment analysis. Journal of the Operational Research Society, 55(10), 1090–1101.
- Lins, M. P. E., Sollero, M. K. V., Caloba, G. M., & Silva, A. C. M. (2007). Integrating the regulatory and utility firm perspectives, when measuring the efficiency of electricity distribution. European Journal of Operational Research, 181(3), 1413–1424.
- Mello, J. C. C. B. S., Gomes, E. G., Neto, L. B., & Lins, M. P. E. (2004). Suavização da Fronteira DEA: o Caso BCC Tridimensional. Investigação Operacional, 24(1), 89–107.
- Mello, J. C. C. B. S., Lins, M. P. E., & Gomes, E. G. (2002). Construction of a smoothed DEA frontier. Pesquisa Operacional, 22(2), 183–201.
- Rockafellx, T. (1970). Convex analysis. Princeton, NJ: Princeton University Press.
- Russak, I. B. (2002). Calculus of variations: MA 4311 lecture notes. Monterey, CA: Department of Mathematics, Naval Postgraduate School.
- Shephxd, R. W. (1953). Cost and production functions. Princeton, NJ: Princeton University Press.
- Strang, G. (Spring 2006). 18.086 Mathematical methods for engineers II. Massachusetts Institute of Technology: MF OpenCourseWare. http://ocw.mit.eduacessadoem07/08/2013.
- Thanassoulis, E., Portela, M. C. S., & Despic, O. (2008). Data envelopment analysis: The mathematical programming approach to efficiency analysis, in the measurement of productive efficiency and productivity growth. In H. O. Fried, C. A. Knox Lovell, & S. S. Schmidt (Eds.). New York, NY: Oxford University Press.