Ranking all of the decision making units (DMUs) is one of the most important topics in Data envelopment analysis (DEA). Provided methods for ranking often rank the efficient units. Ranking inefficient units by early DEA models has some weaknesses since slacks are ignored. One of the methods presented in the ranking of all DMUs is Khodabakhshi and Ariavash’s method [M. Khodabakhshi and K. Ariavash, Appl. Math. Lett. 25 (2012) 2066–2070.] in this method, the maximum and minimum efficiency values of each DMU are measured by considering the sum of all efficiencies equal one. Finally, the rank of each DMU is determined in proportion to a convex combination of its minimum and maximum efficiency values. But optimistic and pessimistic weights of the other DMUs are not considered in ranking of the evaluated DMU. In this paper, a fair method to rank all DMUs, using Khodabakhshi and Ariavash’s method is proposed. In the proposed method optimistic and pessimistic efficiency values will be assessed, not only by the optimal weights of evaluated DMU but also by considering the optimistic and pessimistic optimal weights of all DMUs. The obtained optimistic and pessimistic efficiency values are supposed as criterion for the ranking. The proposed method is illustrated by a numerical example.
Accepté le :
DOI : 10.1051/ro/2016023
Mots-clés : Data envelopment analysis, ranking, optimistic efficiency, pessimistic efficiency
@article{RO_2017__51_1_253_0, author = {Jahanshahloo, Gholam Reza and Sadeghi, Jafar and Khodabakhshi, Mohammad}, title = {Fair ranking of the decision making units using optimistic and pessimistic weights in data envelopment analysis}, journal = {RAIRO - Operations Research - Recherche Op\'erationnelle}, pages = {253--260}, publisher = {EDP-Sciences}, volume = {51}, number = {1}, year = {2017}, doi = {10.1051/ro/2016023}, zbl = {1360.90141}, mrnumber = {3605902}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/ro/2016023/} }
TY - JOUR AU - Jahanshahloo, Gholam Reza AU - Sadeghi, Jafar AU - Khodabakhshi, Mohammad TI - Fair ranking of the decision making units using optimistic and pessimistic weights in data envelopment analysis JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2017 SP - 253 EP - 260 VL - 51 IS - 1 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ro/2016023/ DO - 10.1051/ro/2016023 LA - en ID - RO_2017__51_1_253_0 ER -
%0 Journal Article %A Jahanshahloo, Gholam Reza %A Sadeghi, Jafar %A Khodabakhshi, Mohammad %T Fair ranking of the decision making units using optimistic and pessimistic weights in data envelopment analysis %J RAIRO - Operations Research - Recherche Opérationnelle %D 2017 %P 253-260 %V 51 %N 1 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ro/2016023/ %R 10.1051/ro/2016023 %G en %F RO_2017__51_1_253_0
Jahanshahloo, Gholam Reza; Sadeghi, Jafar; Khodabakhshi, Mohammad. Fair ranking of the decision making units using optimistic and pessimistic weights in data envelopment analysis. RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 1, pp. 253-260. doi : 10.1051/ro/2016023. http://archive.numdam.org/articles/10.1051/ro/2016023/
A procedure for ranking efficient units in data envelopment analysis. Manage. Sci. 39 (1993) 1261–1264. | DOI | Zbl
and ,Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 30 (1984) 1078–1092. | DOI | Zbl
, and ,Models for efficiency dominance in data envelopment analysis. Part I: Additive models and MED measures. J. Oper. Res. Soc. Jpn. 39 (1996) 322–332. | MR | Zbl
, et al.,A review of some methods for ranking fuzzy subsets. Fuzzy Sets Systems (1985) 15 1–19. | DOI | MR | Zbl
and ,Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 429–444. | DOI | MR | Zbl
, and ,A general framework for distance-based consensus in ordinal ranking models. Eur. J. Oper. Res. 96 (1997) 392–397. | DOI | Zbl
, and ,Measuring super-efficiency in DEA in the presence of infeasibility. Eur. J. Oper. Res. 161 (2005) 545–551. | DOI | MR | Zbl
,J. Doyle and R. Green, Efficiency and cross-efficiency in DEA: Derivations, meanings and uses. J. Oper. Res. Soc. (1994) 567–578. | Zbl
Aggregating preference ranking with fuzzy data envelopment analysis. Knowl.-Based Syst. 23 (2010) 512–519. | DOI
, and ,An effective total ranking model for a ranked voting system. Omega 33 (2005) 491–496. | DOI
and ,Scaling units via the canonical correlation analysis in the DEA context. Eur. J. Oper. Res. 100 (1997) 629–637. | DOI | Zbl
and ,B. Golany, An interactive MOLP procedure for the extension of DEA to effectiveness analysis. J. Oper. Res. Soc. (1988) 725–734. | Zbl
A new DEA ranking system based on changing the reference set. Eur. J. Oper. Res. 181 (2007) 331–337. | DOI | Zbl
,Ranking all units in data envelopment analysis. Appl. Math. Lett. 25 (2012) 2066–2070. | DOI | MR | Zbl
and ,A super-efficiency model for ranking efficient units in data envelopment analysis. Appl. Math. Comput. 184 (2007) 638–648. | MR | Zbl
, and ,Alternative secondary goals in DEA cross-efficiency evaluation. Int. J. Prod. Econ. 113 (2008) 1025–1030. | DOI
,Radial DEA models without inputs or without outputs. Eur. J. Oper. Res. 118 (1999) 46–51. | DOI | Zbl
and ,A fuzzy ranking method with range reduction techniques. Eur. J. Oper. Res. 184 (2008) 1032–1043. | DOI | MR | Zbl
and ,A complete efficiency ranking of decision making units in data envelopment. Anal. Comput. Optim. Appl. 14 (1999) 261–266. | DOI | MR | Zbl
, and ,The appropriate total ranking method using DEA for multiple categorized purposes. J. Comput. Appl. Math. 146 (2002) 155–166. | DOI | MR | Zbl
, and ,Data envelopment analysis: Critique and extensions. New Directions for Program Eval. 1986 (1986) 73–105. | DOI
, and ,Slack-adjusted efficiency measures and ranking of efficient units. J. Productivity Anal. 7 (1996) 379–398. | DOI
, , and ,Performance evaluation: an integrated method using data envelopment analysis and fuzzy preference relations. Eur. J. Oper. Res. (2009) 194 227–235. | DOI | MR | Zbl
,Cité par Sources :