1. Sori, A.A., A. Ebrahimnejad, H. Motameni and J.L. Verdegay, 2021. Fuzzy constrained shortest path problem for location-based online services. Int. J. Uncertainty, Fuzziness Knowledge-Based Syst., 29: 231-248.
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2. Pirozmand, P., K.R. Kalantari, A. Ebrahimnejad and H. Motameni, 2021. Improving the similarity search between images of agricultural products: an approach based on fuzzy rough theory. J. Intell. Fuzzy Syst., 40: 9645-9654.
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3. Pirozmand, P., A. Ebrahimnejad, H. Alrezaamiri and H. Motameni, 2021. A novel approach for the next software release using a binary artificial algae algorithm. J. Intell. Fuzzy Syst., 40: 5027-5041.
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4. Ghosh, S., S.K. Roy, A. Ebrahimnejad and J.L. Verdegay, 2021. Multi-objective fully intuitionistic fuzzy fixed-charge solid transportation problem. Complex Intell. Syst., 7: 1009-1023.
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5. Ebrahimnejad, A., M. Enayattabr, H. Motameni and H. Garg, 2021. Modified artificial bee colony algorithm for solving mixed interval-valued fuzzy shortest path problem. Complex Intell. Syst., 7: 1527-1545.
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6. Ebrahimnejad, A., 2021. An acceptability index based approach for solving shortest path problem on a network with interval weights. RAIRO Oper. Res., 55: S1767-S1787.
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7. Bagheri, M., A. Ebrahimnejad, S. Razavyan, F.H. Lotfi and N. Malekmohammadi, 2021. Solving fuzzy multi-objective shortest path problem based on data envelopment analysis approach. Complex Intell. Syst., 7: 725-740.
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8. Veeramani, C., S. Sharanya and A. Ebrahimnejad, 2020. Optimization for multi-objective sum of linear and linear fractional programming problem: fuzzy nonlinear programming approach. Math. Sci., 14: 219-233.
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9. Sori, A.A., A. Ebrahimnejad and H. Motameni, 2020. The fuzzy inference approach to solve multi-objective constrained shortest path problem. J. Intell. Fuzzy Syst., 38: 4711-4720.
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10. Kalantari, K.R., A. Ebrahimnejad and H. Motameni, 2020. Presenting a new fuzzy system for web service selection aimed at dynamic software rejuvenation. Complex Intell. Syst., 6: 697-710.
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11. Kalantari, K.R., A. Ebrahimnejad and H. Motameni, 2020. Efficient improved ant colony optimisation algorithm for dynamic software rejuvenation in web services. IET Software, 14: 369-376.
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12. Kalantari, K.R., A. Ebrahimnejad and H. Motameni, 2020. Dynamic software rejuvenation in web services: a whale optimizationalgorithm-based approach. Turkish J. Electr. Eng. Comput. Sci., 28: 890-903.
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13. Kalantari, K.R., A. Ebrahimnejad and H. Motameni, 2020. A fuzzy neural network for web service selection aimed at dynamic software rejuvenation. Turk. J. Electr. Eng. Comput. Sci., 28: 2718-2734.
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14. Kachouei, M., A. Ebrahimnejad and H. Bagherzadeh-Valami, 2020. A common-weights approach for efficiency evaluation in fuzzy data envelopment analysis with undesirable outputs: application in banking industry. J. Intell. Fuzzy Syst., 39: 7705-7722.
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15. Esfidani, S., F.H. Lotfi, S. Razavyan and A. Ebrahimnejad, 2020. A slacks-based measure approach for efficiency decomposition in multi-period two-stage systems. RAIRO Oper. Res., 54: 1657-1671.
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16. Ebrahimnejad, A., S. Tabatabaei and F.J. Santos-Arteaga, 2020. A novel lexicographic optimization method for solving shortest path problems with interval-valued triangular fuzzy arc weights. J. Intell. Fuzzy Syst., 39: 1277-1287.
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17. Ebrahimnejad, A. and N. Amani, 2020. Fuzzy data envelopment analysis in the presence of undesirable outputs with ideal points. Complex Intell. Syst., 7: 379-400.
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18. Caprio, D.D., A. Ebrahimnejad, M. Ghiyasi and F.J. Santos-Arteaga, 2020. Integrating fuzzy goal programming and data envelopment analysis to incorporate preferred decision-maker targets in efficiency measurement. Decis.s Econ. Finance, 43: 673-690.
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19. Bolouri, M.E., S. Ziari and A. Ebrahimnejad, 2020. New approach for ranking efficient dmus based on euclidean norm in data envelopment analysis. Int. J. Oper. Res., 37: 85-104.
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20. Bagheri, M., A. Ebrahimnejad, S. Razavyan, F.H. Lotfi and N. Malekmohammadi, 2020. Solving the fully fuzzy multi-objective transportation problem based on the common set of weights in DEA. J. Intell. Fuzzy Syst., 39: 3099-3124.
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21. Bagheri, M., A. Ebrahimnejad, S. Razavyan, F.H. Lotfi and N. Malekmohammadi, 2020. Fuzzy arithmetic DEA approach for fuzzy multi-objective transportation problem. Oper. Res., 10.1007/s12351-020-00592-4.
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22. Alrezaamiri, H., A. Ebrahimnejad and H. Motameni, 2020. Parallel multi-objective artificial bee colony algorithm for software requirement optimization. Requirements Eng., 25: 363-380.
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23. Akbari-Bengar, D., A. Ebrahimnejad, H. Motameni and M. Golsorkhtabaramiri, 2020. Improving of cache memory performance based on a fuzzy clustering based page replacement algorithm by using four features. J. Intell. Fuzzy Syst., 39: 7899-7908.
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24. sadeghi, H., H. Motameni, A. Ebrahimnejad and J. Vahidi, 2019. Morphology of composition functions in persian sentences through a newly proposed classified fuzzy method and center of gravity defuzzification method. J. Intell. Fuzzy Syst., 36: 5463-5473.
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25. Naghiha, S., R. Maddahi and A. Ebrahimnejad, 2019. An integrated AHP-DEA methodology for evaluation and ranking of production methods in industrial environments. Int. J. Ind. Syst. Eng., 31: 343-359.
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26. Maleki, S., A. Ebrahimnejad and R.K. Matin, 2019. Pareto–koopmans efficiency in two‐stage network data envelopment analysis in the presence of undesirable intermediate products and nondiscretionary factors. Expert Syst., Vol. 36. 10.1111/exsy.12393.
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27. Enayattabr, M., A. Ebrahimnejad, H. Motameni and H. Garg, 2019. A novel approach for solving all-pairs shortest path problem in an interval-valued fuzzy network. J. Intell. Fuzzy Syst., 37: 6865-6877.
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28. Ebrahimnejad, A., S.H. Nasseri and O. Gholami, 2019. Fuzzy stochastic data envelopment analysis with application to NATO enlargement problem. RAIRO Oper. Res., 53: 705-721.
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29. Ebrahimnejad, A., M. Tavana, S.H. Nasseri and O. Gholami, 2019. A new method for solving dual dea problems with fuzzy stochastic data. Int. J. Inform. Technol. Decis. Making, 18: 147-170.
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30. Ebrahimnejad, A., J.L. Verdegay and H. Garg, 2019. Signed distance ranking based approach for solving bounded interval‐valued fuzzy numbers linear programming problems. Int. J. Intell. Syst., 34: 2055-2076.
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31. Ebrahimnejad, A., A.K. Adak and E.B. Jamkhaneh, 2019. Eigenvalue of intuitionistic fuzzy matrices over distributive lattice. Int. J. Fuzzy Syst. Appl., 8: 1-18.
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32. Ebrahimnejad, A., 2019. An effective computational attempt for solving fully fuzzy linear programming using MOLP problem. J. Ind. Prod. Eng., 36: 59-69.
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33. Ebrahimnejad, A. and S. Ziari, 2019. New model for improving discrimination power in DEAbased on dispersion of weights. Int. J. Math. Oper. Res., 14: 433-450.
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34. Bengar, D.A., A. Ebrahimnejad, H. Motameni and M. Golsorkhtabaramiri, 2019. A page replacement algorithm based on a fuzzy approach to improve cache memory performance. Soft Comput., 24: 955-963.
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35. Alrezaamiri, H., A. Ebrahimnejad and H. Motameni, 2019. Solving the next release problem by means of the fuzzy logic inference system with respect to the competitive market. J. Exp. Theor. Artif. Intell., 32: 959-976.
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36. Tavana, M., A. Ebrahimnejad, F.J. Santos-Arteaga, S.M. Mansourzadeh and R.K. Matin, 2018. A hybrid DEA-MOLP model for public school assessment and closure decision in the city of Philadelphia. Socio-Econ. Plann. Sci., 61: 70-89.
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37. Roy, S.K., A. Ebrahimnejad, J.L. Verdegay and S. Das, 2018. New approach for solving intuitionistic fuzzy multi-objective transportation problem. Sādhanā, Vol. 43. 10.1007/s12046-017-0777-7.
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38. Maleki, S., A. Ebrahimnejad and R.K. Matin, 2018. Two-stage network DEA with convex hull in intermediate products. Hacettepe J. Math. Stat., Vol. 48. 10.15672/hjms.2018.610.
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39. Esfidani, S., F.H. Lotfi, S. Razavyan and A. Ebrahimnejad, 2018. Efficiency changes index in the network data envelopment analysis with non-radial model. Asian-Eur. J. Math., Vol. 13. 10.1142/s179355712050031x.
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40. Enayattabar, M., A. Ebrahimnejad and H. Motameni, 2018. Dijkstra algorithm for shortest path problem under interval-valued pythagorean fuzzy environment. Complex Intell. Syst., 5: 93-100.
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41. Ebrahimnejad, A., S.J. Ghomi and S.M. Mirhosseini-Alizamini, 2018. A revisit of numerical approach for solving linear fractional programming problem in a fuzzy environment. Appl. Math. Modell., 57: 459-473.
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42. Ebrahimnejad, A., S.J. Ghomi and S.M. Mirhosseini-Alizamini, 2018. A new approach for solving fully fuzzy linear fractional programming problems. 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI), December 22, 2017, IEEE Xplore, Tunis, Tunisia, pp: 862-865.
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43. Ebrahimnejad, A., 2018. A method for solving linear programming with interval-valued trapezoidal fuzzy variables. RAIRO Oper. Res., 52: 955-979.
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44. Amani, N., H.B. Valami and A. Ebrahimnejad, 2018. Application of malmquist productivity index with carry-overs in power industry. Alexandria Eng. J., 57: 3151-3165.
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45. Alrezaamiri, H., A. Ebrahimnejad and H. Motameni, 2018. Software requirement optimization using a fuzzy artificial chemical reaction optimization algorithm. Soft Comput., 23: 9979-9994.
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46. Nasseri, S.H., N.A.T. Nezhad and A. Ebrahimnejad, 2017. A novel method for ranking fuzzy quantities using center of incircle and its application to a petroleum distribution center evaluation problem. Int. J. Ind. Syst. Eng., 27: 457-484.
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47. Nasseri, S.H., N. Taghi-Nezhad and A. Ebrahimnejad, 2017. A note on ranking fuzzy numbers with an area method using circumcenter of centroids. Fuzzy Inform. Eng., 9: 259-268.
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48. Nasseri, S.H., A. Ebrahimnejad and O. Gholami, 2017. Fuzzy stochastic data envelopment analysis with undesirable outputs and its application to banking industry. Int. J. Fuzzy Syst., 20: 534-548.
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49. Hatami-Marbini, A., A. Ebrahimnejad and S. Lozano, 2017. Fuzzy efficiency measures in data envelopment analysis using lexicographic multiobjective approach. Comput. Ind. Eng., 105: 362-376.
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50. Ebrahimnejad, A., 2017. Cost parametric analysis of linear programming problems with fuzzy cost coefficients based on ranking functions. Int. J. Math. Modell. Numer. Optim., 8: 62-91.
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51. Ebrahimnejad, A., 2017. A lexicographic ordering-based approach for solving fuzzy transportation problems with triangular fuzzy numbers. Int. J. Manage. Decis. Making, 16: 346-374.
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52. Ebrahimnejad, A. and J.L. Verdegay, 2017. A new approach for solving fully intuitionistic fuzzy transportation problems. Fuzzy Optim. Decis. Making, 17: 447-474.
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53. Shahverdi, R., M. Tavana, A. Ebrahimnejad, K. Zahedi and H. Omranpour, 2016. An improved method for edge detection and image segmentation using fuzzy cellular automata. Cybern. Syst., 47: 161-179.
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54. Nasseri, S.H., A. Ebrahimnejad and O. Gholami, 2016. Fuzzy stochastic input-oriented primal data envelopment analysis models with application to insurance industry. Int. J. Appl. Decis. Sci., 9: 259-282.
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55. Ebrahimnejad, A., M. Tavana and H. Alrezaamiri, 2016. A novel artificial bee colony algorithm for shortest path problems with fuzzy arc weights. Meas 93: 48-56.
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56. Ebrahimnejad, A., M. Tavana and F.J. Santos-Arteaga, 2016. An integrated data envelopment analysis and simulation method for group consensus ranking. Math. Comput. Simul., 119: 1-17.
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57. Ebrahimnejad, A., 2016. New method for solving fuzzy transportation problems with lr flat fuzzy numbers. Inform. Sci., 357: 108-124.
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58. Ebrahimnejad, A. and J.L. Verdegay, 2016. An efficient computational approach for solving type-2 intuitionistic fuzzy numbers based transportation problems. Int. J. Comput. Intell. Syst., 9: 1154-1173.
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59. Rostami, R. and A. Ebrahimnejad, 2015. On solving maximum and quickest interval-valued flows over time. J. Intell. Fuzzy Syst., 30: 347-358.
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60. Mottaghi, A., A. Ebrahimnejad, R. Ezzati and E. Khorram, 2015. A data envelopment analysis based approach for target setting and resource allocation: application in gas companies. Hacettepe J. Math. Stat., Vol. 45. 10.15672/hjms.20158512893.
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61. Ebrahimnejad, A., Z. Karimnejad and H. Alrezaamiri, 2015. Particle swarm optimisation algorithm for solving shortest path problems with mixed fuzzy arc weights. Int. J. Appl. Decis. Sci., 8: 203-222.
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62. Ebrahimnejad, A., M. Tavana and S.M. Mansourzadeh, 2015. An interactive MOLP method for solving output-oriented DEA  problems with undesirable factors. J. Ind. Manage. Optim., 11: 1089-1110.
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63. Ebrahimnejad, A., 2015. Note on “a fuzzy approach to transport optimization problem”. Optim. Eng., 17: 981-985.
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64. Ebrahimnejad, A., 2015. Data envelopment analysis approach for discriminating efficient candidates in voting systems by considering the priority of voters. Hacettepe J. Math. Stat., Vol. 45. 10.15672/hjms.2015489355.
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65. Ebrahimnejad, A., 2015. An improved approach for solving fuzzy transportation problem with triangular fuzzy numbers. J. Intell. Fuzzy Syst., 29: 963-974.
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66. Ebrahimnejad, A., 2015. A novel approach for discriminating efficient candidates by classifying voters in the preferential voting framework. Japan J. Ind. Appl. Math., 32: 513-527.
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67. Shahverdi, R. and A. Ebrahimnejad, 2014. DEA and malmquist productivity indices for measuring group performance in two periods. Int. J. Ind. Syst. Eng., Vol. 16. 10.1504/ijise.2014.060135.
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68. Rostami, R. and A. Ebrahimnejad, 2014. An approximation algorithm for discrete minimum cost flows over time problem. Int. J. Oper. Res., 20: 226-239.
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69. Nasseri, S.H., O. Gholami and A. Ebrahimnejad, 2014. On ranking decision making units using relative similar units in data envelopment analysis. Int. J. Appl. Decis. Sci., 7: 424-436.
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70. Mansourzadeh, S.M., S.H. Nasseri, M. Forghani-elahabad and A. Ebrahimnejad, 2014. A comparative study of different approaches for finding the upper boundary points in stochastic-flow networks. Int. J. Enterp. Inform. Syst., 10: 13-23.
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71. Maddahi, R., G.R. Jahanshahloo, F.H. Lotfi and A. Ebrahimnejad, 2014. Optimising proportional weights as a secondary goal in DEA cross-efficiency evaluation. Int. J. Oper. Res., 19: 234-245.
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72. Ebrahimnejad, A., M. Tavana, F.H. Lotfi, R. Shahverdi and M. Yousefpour, 2014. A three-stage data envelopment analysis model with application to banking industry. Measurement, 49: 308-319.
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73. Ebrahimnejad, A., 2014. A simplified new approach for solving fuzzy transportation problems with generalized trapezoidal fuzzy numbers. Appl. Soft Comput., 19: 171-176.
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74. Ebrahimnejad, A. and M. Tavana, 2014. An interactive molp method for identifying target units in output-oriented dea models: the nato enlargement problem. Measurement, 52: 124-134.
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75. Ebrahimnejad, A. and M. Tavana, 2014. A novel method for solving linear programming problems with symmetric trapezoidal fuzzy numbers. Appl. Math. Modell., 38: 4388-4395.
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76. Ebrahimnejad, A. and J.L. Verdegay, 2014. On solving bounded fuzzy variable linear program and its applications. J. Intell. Fuzzy Syst., 27: 2265-2280.
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77. Ebrahimnejad, A. and J.L. Verdegay, 2014. A novel approach for sensitivity analysis in linear programs with trapezoidal fuzzy numbers. J. Intell. Fuzzy Syst., 27: 173-185.
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78. Jahanshahloo, G., F.H. Lotfi, M.R. Malkhalifeh, R. Maddahi and A. Ebrahimnejad, 2013. Ranking non-extreme efficient units based on super efficiency method in the presence of undesirable outputs: a DEA approach. Int. J. Appl. Decis. Sci., 6: 83-95.
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79. Hosseini, S., F.R. Balf and A. Ebrahimnejad, 2013. Determination of return to scale situations in the presence of non-discretionary factors in dea with interval data. Int. J. Appl. Decis. Sci., 6: 293-312.
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80. Ebrahimnejad, A., S.H. Nasseri and S.M. Mansourzadeh, 2013. Modified Bounded Dual Network Simplex Algorithm for Solving Minimum Cost Flow Problem with Fuzzy Costs Based on Ranking Functions. J. Intell. Fuzzy Syst., 24: 191-198.
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81. Ebrahimnejad, A., 2013. Tableau form of the fuzzy primal-dual simplex algorithm for solving linear programmes with trapezoidal fuzzy numbers. Int. J. Oper. Res., 18: 123-139.
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82. Ebrahimnejad, A., 2013. On solving transportation problems with triangular fuzzy numbers: review with some extensions. 2013 13th Iranian Conference on Fuzzy Systems (IFSC), August 27-29, 2013, IEEE Xplore, Tunis, Tunisia, pp: 1-4.
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83. Ebrahimnejad, A., 2013. A duality approach for solving bounded linear programming problems with fuzzy variables based on ranking functions and its application in bounded transportation problems. Int. J. Syst. Sci., 46: 2048-2060.
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84. Nasseri, S.H., H. Attari and A. Ebrahimnejad, 2012. Revised Simplex Method and its Application for Solving Fuzzy Linear Programming Problems. Eur. J. Ind. Eng., 6: 259-280.
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85. Nasseri, S.H. and A. Ebrahimnejad, 2012. A new approach to duality in fuzzy linear programming. Fuzzy Eng. Operation Res., 147: 17-29.
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86. Maddahi, R. and A. Ebrahimnejad, 2012. Using Ranking Functions to Extend of Hungarian Algorithm in Solving Assignment Problem with Fuzzy Costs. World Appl. Sci. J., 17: 497-501.
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87. Kordrostami, S., A. Amirteimoori, S. Kazemi and A. Ebrahimnejad, 2012. Application of α-cuts for Interval Data in DEA with Fuzzy Coefficients. Ann. Fuzzy Math. Inf., 4: 99-107.
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88. Ebrahimnejad, A., 2012. Cost Efficiency Measures with Trapezoidal Fuzzy Numbers in Data Envelopment Analysis Based on Ranking Functions: Application in Insurance Organization and Hospital. Int. J. Fuzzy Syst. Appl., 2: 51-68.
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89. Ebrahimnejad, A., 2012. A Primal-Dual Method for Solving Linear Programming Problems with Fuzzy Cost Coefficients Based on Linear Ranking Functions and its Applications. Int. J. Ind. Syst. Eng., 12: 119-140.
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90. Ebrahimnejad, A., 2012. A New Approach for Ranking of Candidates in Voting Systems. OPSEARCH, 49: 103-115.
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91. Ebrahimnejad, A., 2012. A Constructive Proof of Fundamental Theory for Fuzzy Variable Linear Programming Problems. Appl. Appl. Math. Int. J., 7: 691-707.
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92. Ebrahimnejad, A. and S.H. Nasseri, 2012. Linear programmes with trapezoidal fuzzy numbers: A duality approach. Int. J. Operational Res., 13: 67-89.
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93. Ebrahimnejad, A. and S.H. Nasseri, 2012. Extension of Network Primal Simplex Algorithm for Solving Minimum Cost Flow Problem with Fuzzy Costs Based on Ranking Functions. Ann. Fuzzy Math. Inf., 4: 9-24.
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94. Ebrahimnejad, A. and F.H. Lotfi, 2012. Equivalence relationship between the general combined-oriented CCR model and the weighted minimax MOLP formulation. J. King Saud Univ., 24: 47-54.
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95. Shahverdi, R., M.A.T. Firuzja, A. Ebrahimnejad and S. Torshizi, 2011. Ranking DMUs by use of a neutral DEA model in the present of absolute weight bounds. World Applied Sci. J., 14: 1655-1660.
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96. Ebrahimnejad, A., S.H. Nasseri and S.M. Mansourzadeh, 2011. Bounded primal simplex algorithm for bounded linear programming with fuzzy cost coefficients. Int. J. Oper. Res. Inform. Syst., 2: 96-120.
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97. Ebrahimnejad, A., 2011. Some New Results in Linear Programs with Trapezoidal Fuzzy Numbers: Finite Convergence of the Ganesan and Veeramani's Method and A Fuzzy Revised Simplex Method. Appl. Math. Modell., 35: 4526-4540.
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98. Ebrahimnejad, A., 2011. Sensitivity analysis in fuzzy number linear programming problems. Math. Comput. Modell., 53: 1878-1888.
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99. Ebrahimnejad, A., 2011. A primal-dual simplex algorithm for solving linear programming problems with symmetric trapezoidal fuzzy numbers. Applied Math., 2: 676-684.
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100. Ebrahimenjad, A., 2011. A new link between output-oriented BCC model with fuzzy data in the present of undesirable outputs and MOLP. Fuzzy Inform. Eng., 3: 113-125.
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101. Balf, F.R., R. Shahverdi, A. Ebrahimnejhad and M. Hatefi, 2011. Improvement least-distance measure model with coplanar DMU on strong hyperplanes. Int. J. Applied Operational Res., 1: 73-80.
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102. Nasseri, S.H., A. Ebrahimnejad and S. Mizuno, 2010. Duality in fuzzy linear programming with symmetric trapezoidal numbers. Appl. Applied Math., 5: 1467-1482.
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103. Nasseri, S.H. and A. Ebrahimnejad, 2010. A fuzzy primal simplex algorithm and its application for solving flexible linear programming problems. Eur. J. Ind. Eng., 4: 372-389.
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104. Nasseri, S.H. and A. Ebrahimnejad, 2010. A fuzzy dual simplex method for a fuzzy number linear programming problem. Adv. Fuzzy Sets Syst., 5: 81-95.
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105. Lotfi, F.H., G.R. Jahanshahloo, M. Soltanifar, A. Ebrahimnejad and S.M. Mansourzadeh, 2010. Relationship between MOLP and DEA based on output-orientated CCR dual model. Expert Syst. Appl., 37: 4331-4336.
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106. Lotfi, F.H., G.R. Jahanshahloo, A. Ebrahimnejad, M. Soltanifar and S.M. Mansourzadeh, 2010. Target setting in the general combined-oriented CCR model using an interactive MOLP method. J. Comput. Applied Mathematics, 234: 1-9.
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107. Ebrahimnejad, A., S.H. Nasseri, F.H. Lotfi and M. Soltanifar, 2010. A primal-dual method for linear programming problems with fuzzy variables. Eur. J. Ind. Eng., 4: 189-209.
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108. Ebrahimnejad, A., S.H. Nasseri and F.H. Lotfi, 2010. Bounded linear programs with trapezoidal fuzzy numbers. Int. J. Uncertainty, Fuzziness and Knowledge-Based Syst., 18: 269-286.
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