[2] Bogetoft, P., Hougaard, J. L.:
Efficiency evaluations based on potential (non-proportional) improvements. J. Productivity Anal. 12 (1998), 233-249.
DOI 10.1023/A:1007848222681
[7] Cooper, W. W., Park, K. S., Pastor, J. T., RAM: A range adjusted measure of inefficiency for use with additive models and relations to other models and measures in DEA. J. Productivity Anal. 11 (1999), 5-42.
[8] Deprins, D., Simar, L., Tulkens, H.: Measuring labor inefficiency in post offices. In: The Performance of Public Enterprises: Concepts and Measurements (M. Marchand, P. Pestieau, and H. Tulkens, eds.), North-Holland, Amsterdam 1984.
[9] Lins, M. P. Estellita, Angulo-Meza, L., Silva, A. C. Moreira da:
A multi-objective approach to determine alternative targets in data envelopment analysis. J. Oper. Res. Soc. 55 (2004), 1090-1101.
DOI 10.1057/palgrave.jors.2601788
[10] Ebrahimnejad, A., Lotfi, F. Hosseinzadeh:
Equivalence relationship between the general combined-oriented CCR model and the weighted minimax MOLP formulation. J. King Saud Univ. Sci. 24 (2012), 47-54.
DOI 10.1016/j.jksus.2010.08.007
[11] Frei, F. X., Harker, P. T.:
Projections onto efficient frontier: Theoretical and computational extension to DEA. J. Productivity Anal. 11 (1999), 275-300.
DOI 10.1023/A:1007746205433
[12] Golany, B.:
An interactive MOLP procedure for the extension of DEA to effectiveness analysis. J. Oper. Res. Soc. 39 (1988), 725-734.
Zbl 0655.90042
[16] Portela, M. C. A. S., Borges, P. C., Thanassoulis, E.:
Finding closest targets in non-oriented DEA models: The case of convex and non-convex technology. J. Productivity Anal. 19 (2003), 251-269.
DOI 10.1023/A:1022813702387
[20] Yang, J. B., Wang, B. Y., Xu, D. L., Stewart, T.:
Integrating DEA-oriented performance assessment and target setting using interactive MOLP methods. European J. Oper. Res. 195 (2009), 205-222.
DOI 10.1016/j.ejor.2008.01.013