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PEER-REVIEWED SCHOLARLY JOURNALS: 1. Khezrimotlagh, D., Zhu, J., Cook, W.D., Toloo, M., Data Envelopment Analysis and Big Data,  European Journal of Operational Research, Accepted Manuscript, 2018.  2. Toloo, M., Mensah E.K. Robust optimization with nonnegative decision variables: A DEA approach,  Computers & Industrial Engineering, 2018. 3. Santos Arteaga, F. J., Tavana, M., Di Caprio, D., Toloo, M., A dynamic multi-stage slacks-based  measure data envelopment analysis model with knowledge accumulation and technological evolution,  European Journal of Operational Research, 2018.  4. Keshavarz, E., Toloo, M., A hybrid DEA-MADM approach to sustainability assessment, Expert  Systems, 2018.  5. Amin, G.R., Al-Muharrami, S., Toloo, M., A combined goal programming and inverse DEA method  for target setting in mergers, Expert Systems With Applications, Vol. 115, 412-417, 2018.  6. Babazadeha, R., Khalilia, M., Toloo, M., A data envelopment analysis method for location optimization  of microalgae cultivation: A case studyWaste and Biomass Valorization, 2018.   7. Salahi, M., Toloo, M.,  Hesabirad, Z., Robust Russell and Enhanced Russell Measures in DEA,  Journal of the Operational Research Society, 2018. 8. Toloo, M., Nalchigar, S., Sohrabi, B., Selecting most efficient information system projects in presence of  user subjective opinions: a DEA approach, Central European Journal of Operations Research, Vol.  26, Issue 4, 1027–1051, 2018.  9. Toloo, M., Allahyar, M., A simplification generalized returns to scale approach for selecting performance  measures in data envelopment analysis, Measurement, Vol. 121, 327-334, 2018.  10. Mahdiloo, M., Toloo, M., Duong T., Farzipoor Saen, R., Tatham, P., Integrated data envelopment  analysis: linear vs. nonlinear model, European Journal of Operational Research, Vol. 268, 255-267,  2018.  11. Toloo, M., Keshavarz, E., Hatami-Marbini, A., Dual-Role Factors for Imprecise Data Envelopment  Analysis, OMEGA, Vol. 77, 15–31, 2018. 12. Akhavan Rahnama, A. H., Toloo, M., Zaidenberg, N. J., An LP-based hyperparameter optimization  model for language modeling, The Journal of Supercomputing, , Vol. 74, 2151–2160, 2008.  13. Toloo, M., Tavana M., Santos-Arteaga, F. J., An Integrated Data Envelopment Analysis and Mixed  Integer Non-Linear Programming Model for Linearizing the Common Set of Weights, Central European  Journal of Operations Research, Accepted Manuscript, 2018.  14. Toloo, M., Salahi, M., A powerful discriminative approach for selecting the most efficient unit in DEA,  Computers & Industrial Engineering, Vol. 115, 269-277, 2018. 15. Toloo, M., Allahyar M., Hanclova J., A non-radial directional distance method on classifying inputs  and outputs in DEA Application to banking industry, Expert Systems With Applications, Vol. 92,  495–506, 2018.  16. Kresta, A., Tichý, T., Toloo, M., Examination of Market Risk Estimation Models via DEA Approach  Modelling, Politická ekonomie, Vol. 65, Issue  2, 161-178, 2017. (Czech Language)  17. Toloo, M., Emrouznejad, A., Moreno, P., A linear relational DEA model to evaluate two-stage  processes with shared inputs, Computational and Applied Mathematics, Vol. 36, 45-61, 2017. 18. Hatami-Marbini, Toloo, M., An extended multiple criteria data envelopment analysis model, Expert  Systems With Applications, Vol. 73, 201-219, 2017. 19. Salahi, M., Toloo, M., In the determination of the most efficient decision making unit in data  envelopment analysis: a comment, Computers & Industrial Engineering, Vol. 104, 216–218, 2017. 20. Toloo, M., Tavana, M., A Novel Method for Selecting a Single Efficient Unit in Data Envelopment  Analysis without Explicit Inputs/Outputs, Annals of Operations Research, Vol. 253, 657–681, 2017.  21. Arabi, B., Munisamy, S., Emrouznejad, A., Toloo, M., Ghazizadeh, M.S., Eco-Efficiency  considering the issue of heterogeneity among power plants, Energy, Vol. 111, 722-735, 2016.   22. Masoumzadeh, A., Toloo, M., Amirteimori, A., Performance assessment in production systems  without explicit inputs:  An application to basketball players, IMA Journal of Management  Mathematics, Vol. 27, 143–156, 2016. 23. Toloo, M., Jalili, R.,LU Decomposition in DEA with an Application to Hospitals, Computational  Economics, Vol. 47, Issue 3, 473-488, 2016.  24. Toloo, M., A cost efficiency approach for strategic vendor selection problem under certain input prices  assumption, Measurement,  Vol. 85,  175–183, 2016. 25. Toloo, M., Babaee, S., On variable reductions in data envelopment analysis with an illustrative  application to a gas company, Applied Mathematics and Computation, , Vol. 270, 527–533, 2015.  26. Toloo, M., Barat, M., On considering dual-role factor in supplier selection problem, Mathematical  Methods of Operations Research, Vol. 82, 107–122, 2015.  27. Toloo, M., A technical note 'erratum to ''Finding the most efficient DMUs in DEA: An improved  integrated model'' [Comput. Indus. Eng. 52 (2007) 71-77]', Computers & Industrial Engineering,  Vol. 83, 261-263, 2015.  28. Toloo, M., Zandi, A., Emrouznejad, A., Evaluation efficiency of large-scale data set with negative data:  an artificial neural network approach, The Journal of Supercomputing, Vol. 71, 2397–2411, 2015.  29. Toloo, M., Alternative minimax model for finding the most efficient unit in data envelopment analysis,  Computers & Industrial Engineering, Vol. 81, 186-194, 2015. 30. Sohrabi, B., Toloo, M., Moeini, A., Nalchigar, S., Evaluation of recommender systems: A multi-  criteria decision making approach, Iranian Journal of Management Studies, Vol. 8, Issue 4, 589-  605, 2015.  31. Toloo, M., Tichy, T., Two alternative approaches for selecting performance measures in data envelopment  analysis, Measurement, Vol. 65, 29-40, 2015. 32. Toloo, M., Masoumzadeh, A., Barat, M., Finding an initial basic feasible solution for DEA models  with an application on bank industry, Computational Economics, Vol. 45, Issue 2, 323-326, 2015.  33. Keshavarz, E., Toloo, M., Efficiency status of a feasible solution in the Multi-Objective Integer Linear  programming problems: A DEA methodology, Applied Mathematical Modelling, Vol. 39,  3236–3247, 2015.   34. Toloo, M., Barat, M., Masoumzadeh, A., Selective measures in data envelopment analysis, Annals of  Operations Research, Vol. 226, 523-642, 2015.  35. Toloo, M., Farzipoor, R., Azadi, M., Obviating some of the theoretical barriers of data envelopment  analysis discriminant analysis (DEA-DA): An application in predicting cluster membership of customers,  Journal of the Operational Research Society, Vol. 66, 674–683, 2015. 36. Keshavarz, E., Toloo, M., Finding efficient assignments: An innovative DEA approach, Measurement,  Vol. 58, 448–458, 2014.  37. Toloo, M., Selecting and full ranking suppliers with imprecise data: A new DEA method, International  Journal of Advanced Manufacturing Technology, Vol. 74, Issues 5-8, 1141-1148, 2014. 38. Toloo, M., Kresta, A., Finding the best asset financing alternative: A DEA-WEO approach,  Measurement, Vol. 55, 288-294, 2014. 39. Toloo, M., The role of non-Archimedean epsilon in finding the most efficient unit: With an application of  professional tennis players, Applied Mathematical Modelling, Vol. 38, 5334–5346, 2014.  40. Toloo, M., Ertay, T., The most cost efficient automotive vendor with price uncertainty: A new DEA  approach, Measurement, Vol. 52, 135-144, 2014. 41. Toloo, M., Notes on classifying inputs and outputs in data envelopment analysis: a comment, European  Journal of Operational Research, Vol. 235, Issue 3, 810-812, 2014.  42. Toloo, M., An Epsilon-free Approach for Finding the Most Efficient Unit in DEA, Applied  Mathematical Modelling, Vol. 38, 3182–3192, 2014. 43. Toloo, M., The most efficient unit without explicit inputs: An extended MILP-DEA model,   Measurement, Vol. 6, Issue 9, 3628-3634, 2013. 44. Toloo, M., Alternative solutions for classifying inputs and outputs in data envelopment analysis,  Computers and Mathematics with Application, Vol. 63, 1104–1110, 2012. 45. Toloo, M., On finding the most BCC-efficient DMU: A new integrated MIP-DEA model, Applied  Mathematical Modelling, Vol. 36, 5515–520, 2012. 46. Toloo, M., Nalchigar, S., A New Integrated DEA Model for Supplier Selection in Presence of both  Cardinal and Ordinal Data, Expert Systems with Applications, Vol. 38, 14726–14731, 2011. 47. Amin, G.R., Toloo, M., Sheikhan, M., Input and output scaling in advanced manufacturing  technology: theory and application, International Journal of Advanced Manufacturing  Technology, Vol. 50, No. 9-12, 1235–1241, 2010. 48. Toloo, M., Sohrabi, B., Nalchigar, S., A New Method for Ranking Discovered Rules from Data Mining  by DEA, Expert Systems with Applications, Vol. 36, 8503–8508, 2009. 49. Toloo, M., On classifying inputs and outputs in DEA: A revised model, European Journal of  Operational Research, Vol. 198, 358–360, 2009.  50. Toloo, M., Nalchigar, S., A new integrated DEA model for finding most BCC-efficient DMU, Applied  Mathematical Modelling, Vol. 33, 597–604, 2009. 51. Toloo, M., Aghayi, N., Rostamy-Malkhalifeh, M., Measuring overall profit efficiency with interval  data, Applied Mathematics & Computations, Vol. 201, 640–649, 2008. 52. Amin, G.R., Toloo, M., Finding the most efficient DMUs in DEA: An improved integrated model,  Computers & Industrial Engineering, Vol. 52, No. 1, 71-77, 2007. This paper is introduced as one of the 25 hot top articles.  53. Amin, G.R., Toloo, M., Sohrabi, B., An Improved MCDM DEA Model to Technology Selection,  International Journal of Production Research, Vol. 44, No. 13, 2681-2686, 2006. 54. Toloo, M., Comment on A Comparison to Parametric and Non-Parametric Distance Functions,  European Journal of Operational Research, Vol. 171, No. 1, 344-345, 2006.  55. Amin, G.R., Toloo, M., A Polynomial-time Algorithm for Determining the Non-Archimedean Epsilon in  DEA model, Computers & Operations Research, Vol. 31, No. 5, 803-805, 2004. 56. Salehi Fathabadi, H., Toloo, M., Maximum Flow in Self-Similar Flow Networks, International  Journal of Management Science, Vol. 8, No. 1, 39-51, 2002. 57. Computational Framework of Infinitesimals in DEA: with an Empirical Investigation on Schools, Journal  of science, Vol. 6, No. 19-22, 349-359, 1997. 
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