Open Access
Issue |
RAIRO-Oper. Res.
Volume 55, Number 3, May-June 2021
|
|
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Page(s) | 1933 - 1948 | |
DOI | https://doi.org/10.1051/ro/2021069 | |
Published online | 28 June 2021 |
- G.R. Amin and M.I. Boamah, A new inverse DEA cost efficiency model for estimating potential merger gains: a case of Canadian banks. Ann. Oper. Res. 295 (2020) 21–36. [Google Scholar]
- G.R. Amin and A. Emrouznejad, Inverse forecasting: a new approach for predictive modeling. Comput. Ind. Eng. 53 (2007) 491–498. [Google Scholar]
- G.R. Amin, A. Emrouznejad and S. Gattoufi, Minor and major consolidations in inverse DEA: Definition and determination. Comput. Ind. Eng. 103 (2017) 193–200. [Google Scholar]
- A. Charnes, W.W. Cooper and E. Rhodes, Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 429–444. [Google Scholar]
- L. Chen, Y. Wang, F. Lai and F. Feng, An investment analysis for China’s sustainable development based on inverse data envelopment analysis. J. Clean. Prod. 142 (2017) 1638–1649. [Google Scholar]
- W.D. Cook and L.M. Seiford, Data envelopment analysis (DEA) – Thirty years on. Eur. J. Oper. Res. 192 (2009) 1–17. [CrossRef] [Google Scholar]
- A. Emrouznejad, G.-L. Yang and G.R. Amin, A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries. J. Oper. Res. Soc. (2018) 1–12. [Google Scholar]
- S. Gattoufi, G.R. Amin and A. Emrouznejad, A new inverse DEA method for merging banks. IMA J. Manage. Math. 25 (2014) 73–87. [CrossRef] [Google Scholar]
- M. Ghiyasi, Industrial sector environmental planning and energy efficiency of Iranian provinces. J. Cleaner Prod. 142 (2017) 2328–2339. [Google Scholar]
- M. Ghiyasi, Inverse DEA based on cost and revenue efficiency. Comput. Ind. Eng. 114 (2017) 258–263. [Google Scholar]
- S. Ghobadi and S. Jahangiri, Inverse DEA: review, extension and application. Int. J. Inf. Technol. Decis. Making 14 (2015) 805–824. [Google Scholar]
- F. Guijarro, M. Martnez-Gómez and D. Visbal-Cadavid, A model for sector restructuring through genetic algorithm and inverse DEA. Expert Syst. App. 154 (2020) 113422. [Google Scholar]
- A. Hadi-Vencheh and A.A. Foroughi, A generalized DEA model for inputs/outputs estimation. Math. Comput. Modell. 43 (2006) 447–457. [Google Scholar]
- A. Hadi-Vencheh, A.A. Foroughi and M. Soleimani-Damaneh, A DEA model for resource allocation. Econ. Modell. 25 (2008) 983–993. [Google Scholar]
- A. Hatami-Marbini, A. Emrouznejad and M. Tavana, A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making. Eur. J. Oper. Res. 214 (2011) 457–472. [Google Scholar]
- G.R. Jahanshahloo, F.H. Lotfi, N. Shoja, G. Tohidi and S. Razavyan, Input estimation and identification of extra inputs in inverse DEA models. Appl. Math. Comput. 156 (2004) 427–437. [Google Scholar]
- G.R. Jahanshahloo, A.H. Vencheh, A.A. Foroughi and R.K. Matin, Inputs/outputs estimation in DEA when some factors are undesirable. Appl. Math. Comput. 156 (2004) 19–32. [Google Scholar]
- G.R. Jahanshahloo, F.H. Lotfi, N. Shoja, G. Tohidi and S. Razavyan, Sensitivity of efficiency classifications in the inverse DEA models. Appl. Mat. Comput. 169 (2005) 905–916. [Google Scholar]
- G. Jahanshahloo, F. Hosseinzadeh Lotfi, M. Rostamy-Malkhalifeh and S. Ghobadi, Using enhanced Russell model to solve inverse data envelopment analysis problems. Sci. World J. (2014) 2014. [Google Scholar]
- G.R. Jahanshahloo, M. Soleimani-Damaneh and S. Ghobadi, Inverse DEA under inter-temporal dependence using multiple-objective programming. Eur. J. Oper. Res. 240 (2015) 447–456. [Google Scholar]
- M. Kalantary, R.F. Saen, and A. Toloie Eshlaghy, Sustainability assessment of supply chains by inverse network dynamic data envelopment analysis. Sci. Iran. 25 (2018) 3723–3743. [Google Scholar]
- M. Kalantary, and R.F. Saen, Assessing sustainability of supply chains: An inverse network dynamic DEA model. Comput. Ind. Eng. 135 (2018) 1224–1238. [Google Scholar]
- S. Lertworasirikul, P. Charnsethikul and S.-C. Fang, Inverse data envelopment analysis model to preserve relative efficiency values: the case of variable returns to scale. Comput. Ind. Eng. 61 (2011) 1017–1023. [Google Scholar]
- H.-T. Lin, An efficiency-driven approach for setting revenue target. Decis. Support Syst. 49 (2010) 311–317. [Google Scholar]
- Q. Wei, J. Zhang and X. Zhang, An inverse DEA model for inputs/outputs estimate. Eur. J. Oper. Res. 121 (2000) 151–163. [Google Scholar]
- H. Yan, Q. Wei and G. Hao, DEA models for resource reallocation and production input/output estimation. Eur. J. Oper. Res. 136 (2002) 19–31. [Google Scholar]
- G. Zhang and J. Cui, A general inverse DEA model for non-radial DEA. Comput. Ind. Eng. 142 (2020). [Google Scholar]
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