Hi, I am Hamed Fazlollahtabar, My LiveDNA is 98.6701
 
   
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Dr. Hamed Fazlollahtabar
 
Highest Degree: Ph.D. in Industrial and Systems Engineering from Iran University of Science and Technology, Iran
 
Institute: Iran University of Science and Technology, Iran
 
Area of Interest: Business Management and Accounting
  •   Optimization
  •   Production Planning and Control
  •   Operations Research
  •   Quality Engineering
 
URL: http://livedna.org/98.6701
 
My SELECTED Publications
1:   Aalaei, A., H. Fazlollahtabar, I. Mahdavi, N. Mahdavi-Amiri and M.H. Yahyanejad, 2013. A genetic algorithm for a creativity matrix cubic space clustering: A case study in mazandaran gas company. Applied Soft Comput., 13: 1661-1673.
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2:   Abbasian, M., H.E. Nosratabadi and H. Fazlollahtabar, 2015. Applying an intelligent dynamic genetic algorithm for solving a multi-objective flexible job shop scheduling problem with maintenance considerations. J. Applied Comput. Math., Vol. 4. 10.4172/2168-9679.1000227.
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3:   Abedi, M., H. Seidgar and H. Fazlollahtabar, 2017. Hybrid scheduling and maintenance problem using artificial neural network based meta-heuristics. J. Modell. Manage., 12: 525-550.
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4:   Akbari, F., H. Fazlollahtabar and I. Mahdavi, 2013. An uncertain decision making process considering customers and services in evaluating banks: A case study. Int. J. Strategic Decis. Sci., 4: 48-78.
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5:   Akbari, F., H. Fazlollahtabar, I. Mahdavi and N. Mahdavi-Amiri, 2012. Bi-level programming for an optimal use of information technology innovation in markets. Proceedings of the 9th International Conference on Information Technology Applications and Management, December 20, 2012, Wonju, Korea -.
6:   Alikhani, M. and H. Fazlollahtabar, 2014. A mathematical model for optimizing organizational learning capability. Adv. Oper. Res., 10.1155/2014/490210.
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7:   Arabshahi, H. and H. Fazlollahtabar, 2017. A DEA-based framework for innovation risk management in production systems: Case study of innovative activities in industries. Int. J. Environ. Sci. Technol., (In Press). 10.1007/s13762-017-1296-0.
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8:   Arshadi, A. and H. Fazlollahtabar, 2009. An immunity-based control framework for facilities relocation in supply chain. Int. J. Intell. Syst. Technol. Applic., 7: 188-204.
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9:   Asadi, M., H. Fazlollahtabar and B. Shirazi, 2015. A sales management decision making system based on possibility theory. J. Inform. Technol. Software Eng., Vol. 5. 10.4172/2165-7866.1000159.
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10:   Asadi, M., H. Fazlollahtabar and B. Shirazi, 2015. An enterprise management decision making system based on possibility theory. Int. J. Enterprise Inform. Syst., 11: 1-27.
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11:   Asadinejad, M., B. Shirazi and H. Fazlollahtabar, 2013. Proposing a decision support system for service oriented manufacturing based on enterprise resource planning. J. Inform. Technol. Software Eng., 3: 1-7.
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12:   Basirat, P. and H. Fazlollahtabar, 2012. An integrated casual loop and cumulative sum control chart for reliability assessment in a maintenance system. Proceedings of the 1st International Quality Engineering Conference, December 3-4, 2012, Tehran, Iran -.
13:   Basirat, P., H. Fazlollahtabar and I. Mahdavi, 2013. System dynamics meta-modelling for reliability considerations in maintenance. Int. J. Process Manage. Benchmarking, 3: 136-153.
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14:   Esmaeilpour, R., H. Fazlollahtabar and E. Aghasi, 2013. Multi-objective mathematical model as a decision support for customer service marketing. Int. J. Applied Operat. Res., 3: 27-41.
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15:   Fathi, Z., M. Rasi and H. Fazlollahtabar, 2013. Model for pricing in multi-product supply chain based on customers utility and activity based costing considering risk in profit. Int. J. Innov. Ideas, 13: 12-28.
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16:   Fazlollahtabar, H. and A. Abbasi, 2008. Applying integrated strategic planning and RADAR technique to find optimal course delivery policy in a virtual learning system. Proceedings of the 3rd International Conference on Virtual Learning, October 31-November 2, 2008, Bucharest, Romania, pp: 169-176.
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17:   Fazlollahtabar, H. and A. Abbasi, 2011. Heuristic probabilistic approach for prioritizing optimal course delivery policies in e-learning systems. Analele Universitatii Spiru Haret-Seria Matematica-Informatica, 7: 37-51.
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18:   Fazlollahtabar, H. and A. Abbasi, 2012. A computer integrated framework for e-learning control systems based on data flow diagrams. J. Control Eng. Technol., 2: 97-105.
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19:   Fazlollahtabar, H. and A. Muhammadzadeh, 2012. A knowledge-based user interface to optimize curriculum utility in an e-learning system. Int. J. Enterprise Inform. Syst., 8: 34-53.
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20:   Fazlollahtabar, H. and E. Aghasi, 2012. A two-stage mechanism as a decision support for marketing via customer satisfaction measures. J. Chin. Inst. Ind. Eng., 29: 270-281.
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21:   Fazlollahtabar, H. and E. Aghasi, 2013. Profit maximization based on customer satisfaction level in a multi-layer multi-product supply chain. Int. J. Applied Operat. Res., 3: 59-66.
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22:   Fazlollahtabar, H. and E. Aghasi, 2014. An integrated stochastic multi-criteria acceptability analysis and mathematical optimisation for service marketing. Int. J. Serv. Operat. Manage., 17: 38-49.
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23:   Fazlollahtabar, H. and H. Fazlollahtabar, 2016. Parallel autonomous guided vehicle assembly line for a semi-continuous manufacturing system. Assembly Autom., 36: 262-273.
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24:   Fazlollahtabar, H. and H. Hajmohammadi, 2011. Reliability assessment of users'virtual learning queue system. Ann. Spiru Haret Univ. Math.-Inform. Ser., 7: 45-52.
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25:   Fazlollahtabar, H. and I. Mahdavi, 2009. Applying stochastic programming for optimizing production time and cost in an automated manufacturing system. Proceedings of the International Conference on Computer and Industrial Engineering, July 6-8, 2009, Troyce, France, pp: 1226-1230.
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26:   Fazlollahtabar, H. and I. Mahdavi, 2009. User/tutor optimal learning path in e-learning using comprehensive neuro-fuzzy approach. Educ. Res. Rev., 4: 142-155.
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27:   Fazlollahtabar, H. and M. Ashena, 2013. A Bayesian network decision support system for order management in new product development. Comput. Sci. Inform. Technol., 1: 82-89.
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28:   Fazlollahtabar, H. and M. Mofidi, 2008. Applying 0/1 integer programming to optimize user curriculum in a virtual learning environment based on utility function. Proceedings of the 3rd International Conference on Virtual Learning, October 31 -November 2, 2008, Bucharest, Romania, pp: 135-142.
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29:   Fazlollahtabar, H. and M. Saidi-Mehrabad, 2013. Markovian Reliability in Multiple AGV System. In: Encyclopedia of Business Analytics and Optimization, Wang, J. (Ed.). IGI Publishing, Hershey, PA., USA., pp: 388-395.
30:   Fazlollahtabar, H. and M. Saidi-Mehrabad, 2013. Methodologies to optimize automated guided vehicle scheduling and routing problems: A review study. J. Intell. Robot. Syst., 10.1007/s10846-013-0003-8.
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31:   Fazlollahtabar, H. and M. Saidi-Mehrabad, 2013. Optimizing a multi-objective reliability assessment in multiple agv manufacturing system. Int. J. Serv. Operat. Manage., 16: 352-372.
32:   Fazlollahtabar, H. and M. Saidi-Mehrabad, 2015. Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning. Springer International Publishing, Switzerland, ISBN: 978-3-319-14746-8, Pages: 203.
33:   Fazlollahtabar, H. and M. Saidi-Mehrabad, 2015. Optimal path in an intelligent AGV-based manufacturing system. Transp. Lett., 7: 219-228.
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34:   Fazlollahtabar, H. and M. Saidi-Mehrabad, 2015. Risk assessment for multiple automated guided vehicle manufacturing network. Rob. Auton. Syst., 74: 175-183.
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35:   Fazlollahtabar, H. and M. Zandieh, 2010. Cost optimization in an AGV-based automated manufacturing system associated with product inspection and machine reliability. Proceedings of the 2nd International Conference on Engineering Systems Management and its Applications, March 30-April 1, 2010, Sharjah, pp: 1-6.
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36:   Fazlollahtabar, H. and M.A. Ehsani, 2010. Integration between regression model and fuzzy logic approach for analyzing various electronic commerce effects on economic growth in organizations. J. Electron. Commerce Organ., 8: 17-31.
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37:   Fazlollahtabar, H. and M.H. Olya, 2013. A cross-entropy heuristic statistical modeling for determining total stochastic material handling time. Int. J. Adv. Manuf. Technol., 67: 1631-1641.
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38:   Fazlollahtabar, H. and N. Mahdavi-Amiri, 2010. Design of an expert system to estimate cost in an automated jobshop manufacturing system. Proceedings of the 40th International Conference on Computers and Industrial Engineering, July 25-28, 2010, Awaji, pp: 1-6.
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39:   Fazlollahtabar, H. and N. Mahdavi-Amiri, 2013. An optimal path in a bi-criteria AGV-based flexible jobshop manufacturing system having uncertain parameters. Int. J. Ind. Syst. Eng., 13: 27-55.
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40:   Fazlollahtabar, H. and N. Mahdavi-Amiri, 2013. Design of a neuro-fuzzy-regression expert system to estimate cost in a flexible jobshop automated manufacturing system. Int. J. Adv. Manuf. Technol., 67: 1809-1823.
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41:   Fazlollahtabar, H. and N. Mahdavi-Amiri, 2013. Producer's behavior analysis in an uncertain bicriteria AGV-based flexible jobshop manufacturing system with expert system. Int. J. Adv. Manufact. Technol., 65: 1605-1618.
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42:   Fazlollahtabar, H. and N. Yousefpoor, 2008. Selection of optimum maintenance strategies in a virtual learning environment based on analytic hierarchy process. Proceedings of International Conference on Virtual Learning, October 31-November 2, 2008, Constanţa, Romania, pp: 143-152.
43:   Fazlollahtabar, H. and N. Yousefpoor, 2009. Cost optimization in e-learning-based education systems: Implementation and learning sequence. E-Learning, 6: 198-205.
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44:   Fazlollahtabar, H. and N.K. Sharma, 2008. E-Learning versus face-to-face learning: An economic analysis of higher educational systems in Iran. Int. J. Cyber Soc. Educ., 1: 49-60.
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45:   Fazlollahtabar, H. and S.G. Jalali, 2013. Adapted markovian model to control reliability assessment in multiple AGV manufacturing system. Scientia Iranica Trans. E: Indust. Eng., 20: 2224-2237.
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46:   Fazlollahtabar, H. and S.T.A. Niaki, 2017. Binary state reliability computation for a complex system based on extended Bernoulli trials: Multiple autonomous robots. Qual. Reliab. Eng. Int., (In Press). 10.1002/qre.2137.
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47:   Fazlollahtabar, H., 2007. A dynamic programming approach to identify shortest path in virtual learning environment. Proceedings of the 2nd International Conference on Virtual Learning (ICVL), November 2-3, 2007, Bucharest, Romania, pp: 89-96.
48:   Fazlollahtabar, H., 2008. A dynamic programming approach to identify shortest path in virtual learning environment. E-Learn. Digital Media, 5: 89-96.
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49:   Fazlollahtabar, H., 2008. Multi-criteria decision model for e-learning architecture selection based on utility function and electre method. Proceedings of the 3rd International Conference on Virtual Learning, October 31-November 2, 2008, Bucharest, Romania, pp: 161-168.
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50:   Fazlollahtabar, H., 2008. Using a hybrid multi-criteria decision aid method for AGV selection in an automated manufacturing system. Proceedings of the 38th Conference on Computers and Industrial Engineering, October 31-November 2, 2008, Beijing, China, pp: 1-8.
51:   Fazlollahtabar, H., 2009. An integration between 0/1 integer programming and fuzzy logic approaches to optimize user curriculum in an e-learning system. Proceedings of the 2nd International Conference on Information and Communication Technologies and Accessibility, May 7-9, 2009, Hammamet, Tunisia, pp: 273-276.
52:   Fazlollahtabar, H., 2010. A subjective framework for seat comfort based on a heuristic multi criteria decision making technique and anthropometry. Applied Ergon., 42: 16-28.
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53:   Fazlollahtabar, H., 2010. Employing Fuzzy Logic for a Real-Time Comprehensive Quality Assessment Model of Service Providers in E-Learning Environments. In: Cases on Technology Enhanced Learning through Collaborative Opportunities, Mukerji, S. and P. Tripathi (Eds.). IGI Publishing, Hershey, PA., USA., pp: 223-241.
54:   Fazlollahtabar, H., 2012. A mathematical programming for an employees creativity matrix cubic space clustering in organizations. Int. J. Ind. Eng.: Theory Applic. Pract., 19: 128-136.
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55:   Fazlollahtabar, H., 2012. Applying information technology in developing business models of export. Int. J. Bus. Syst. Res., 6: 89-107.
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56:   Fazlollahtabar, H., 2012. Reliability-based dynamic programming for e-learning user profile assessment. Int. J. Inform. Commun. Technol. Educ., 8: 13-21.
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57:   Fazlollahtabar, H., 2012. Six sigma based integrated mathematical model for optimizing electronic marketing decisions. Int. J. Customer Relationship Marketing Manage., 3: 61-76.
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58:   Fazlollahtabar, H., 2013. Designing a feedback based diagnosis decision support tool for continuous improvement of e-readiness indices to implement e-government. Universal J. Manage., 1: 1-5.
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59:   Fazlollahtabar, H., 2013. Designing a management information system for an agent-based multilayer electronic supply chain network. J. Manage. Sci. Pract., 1: 1-7.
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60:   Fazlollahtabar, H., 2015. Capacitated location-allocation hub covering problem in manufacturing-customer interaction. J. Applied Comput. Math., Vol. 4. 10.4172/2168-9679.1000243.
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61:   Fazlollahtabar, H., 2015. Innovation Management and Creativity. Lambert Academic Publishing, Germany, ISBN: 978-3-659-62984-6, Pages: 196.
62:   Fazlollahtabar, H., 2016. An integration between fuzzy PROMETHEE and fuzzy linear program for supplier selection problem: Case study. J. Applied Math. Modell. Comput., 1: 1-8.
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63:   Fazlollahtabar, H., A. Abbasi and A. Taheri, 2010. Designing an intelligent information system for a multilayer electronic supply chain network. Int. J. Syst. Control, 1: 156-162.
64:   Fazlollahtabar, H., A. Es'haghzadeh, H. Hajmohammadi and A. Taheri-Ahangar, 2012. A Monte Carlo simulation to estimate TAGV production time in a stochastic flexible automated manufacturing system: A case study. Int. J. Ind. Syst. Eng., 12: 243-258.
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65:   Fazlollahtabar, H., B. Rezaie and H. Kalantari, 2010. Mathematical programming approach to optimize material flow in an AGV-based flexible jobshop manufacturing system with performance analysis. Int. J. Adv. Manuf. Technol., 51: 1149-1158.
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66:   Fazlollahtabar, H., B. Shirazi and A.P. Ganji, 2015. A framework for knowledge sharing of enterprise resources. Int. J. Inform. Comput. Sci., 4: 9-18.
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67:   Fazlollahtabar, H., E. Aghasi and A. Aghasi, 2013. Effect of customer satisfaction measures on a supply chain. Int. J. Adv. Ind. Eng. Manage., 2: 35-39.
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68:   Fazlollahtabar, H., E. Aghasi and I. Rasht, 2012. Mathematical optimization for service marketing via multi-criteria acceptability analysis. Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management, July 3-6, 2012, Istanbul, Turkey, pp: 2063-2069.
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69:   Fazlollahtabar, H., E. Aghasi and P. Forte, 2012. Bi-objective two-stage decision-making process for service marketing. Int. J. Strategic Decis. Sci., 3: 24-39.
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70:   Fazlollahtabar, H., F. Akbari and I. Mahdavi, 2012. Optimizing e-shopping sales efficiency using virtual intelligent agent and pricing concept. Asian J. Inform. Commun., 4: 27-35.
71:   Fazlollahtabar, H., F. Akbari and I. Mahdavi, 2013. A fuzzy goal programming for optimizing service industry market using virtual intelligent agent. J. Chinese Inst. Ind. Eng., 3: 20-29.
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72:   Fazlollahtabar, H., H. Eslami and H. Salmani, 2010. Designing a fuzzy expert system to evaluate alternatives in fuzzy analytic hierarchy process. J. Software Eng. Applic., 3: 409-418.
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73:   Fazlollahtabar, H., H. Fazlollahtabar, M. Saidi-Mehrabad, M. Saidi-Mehrabad, E. Masehian and E. Masehian, 2015. Mathematical model for deadlock resolution in multiple AGV scheduling and routing network: A case study. Ind. Robot: Int. J., 42: 252-263.
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74:   Fazlollahtabar, H., H. Hajmohammadi and A. Es'haghzadeh, 2011. A heuristic methodology for assembly line balancing considering stochastic time and validity testing. Int. J. Adv. Manuf. Technol., 52: 311-320.
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75:   Fazlollahtabar, H., H. Hajmohammadi and A. Khadem, 2012. A qualitative evaluation of suppliers in a supply network using Six Sigma criterion. Int. J. Applied Decis. Sci., 5: 64-76.
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76:   Fazlollahtabar, H., H. Hajmohammadi and A. Mohajeri, 2012. Designing an electronic supply chain management system in an electronic market considering customer satisfaction and logistic. Int. J. Customer Relationship Marketing Manage., 3: 74-88.
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77:   Fazlollahtabar, H., H. Hajmohammadi and B. Ghanbari, 2012. Designing a stochastic model to analyze online course delivery in e-learning. Int. J. Inform. Comput. Sci., 1: 106-114.
78:   Fazlollahtabar, H., H. Hajmohammadi, I. Mahdavi, N. Mahdavi-Amiri and A. Mohajeri, 2010. Fuzzy Electronic Supply Chain System: Customer Satisfaction and Logistic Aspects. In: Electronic Supply Network Coordination in Intelligent and Dynamic Environment: Modeling and Implementation, Mahdavi, I., S. Mohebbi and N. Cho (Eds.). IGI Publishing, Hershey, PA., USA., pp: 183-198.
79:   Fazlollahtabar, H., I. Mahdavi and A. Mohajeri, 2013. Applying fuzzy mathematical programming approach to optimize a multiple supply network in uncertain condition with comparative analysis. Applied Soft Comput., 13: 550-562.
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80:   Fazlollahtabar, H., I. Mahdavi and N. Mahdavi-Amiri, 2011. Assessing the effectiveness of E-learning via user profile analysis: An AHP-based dynamic programming approach. MIS Rev.: Int. J., 17: 39-61.
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81:   Fazlollahtabar, H., I. Mahdavi and N. Mahdavi-Amiri, 2013. A heuristic algorithm to approximate dynamic program of a novel new product development process. J. King Saud University: Eng. Sci., (In Press). 10.1016/j.jksues.2013.12.001.
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82:   Fazlollahtabar, H., I. Mahdavi and N. Mahdavi-Amiri, 2016. A heuristic algorithm to approximate dynamic program of a novel new product development process. J. King Saud Univ.-Eng. Sci., 28: 84-91.
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83:   Fazlollahtabar, H., I. Mahdavi and N. Mahdavi-Amiri, 2016. Meta modelling of job satisfaction effective factors for improvement policy making in organizations. Benchmarking: Int. J., 23: 388-405.
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84:   Fazlollahtabar, H., I. Mahdavi, M.T. Ashoori, S. Kaviani and N. Mahdavi-Amiri, 2011. A multi-objective decision-making process of supplier selection and order allocation for multi-period scheduling in an electronic market. Int. J. Adv. Manuf. Technol., 52: 1039-1052.
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85:   Fazlollahtabar, H., I. Mahdavi, N. Mahdavi-Amiri and A. Mohajeri, 2012. A mathematical model for vehicle routing problem in a flexible supply network. Asian J. Ind. Engine., 4: 17-29.
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86:   Fazlollahtabar, H., M. Saidi-Mehrabad and J. Balakrishnan, 2015. Mathematical optimization for earliness/tardiness minimization in a multiple automated guided vehicle manufacturing system via integrated heuristic algorithms. Rob. Auton. Syst., 72: 131-138.
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87:   Fazlollahtabar, H., P. Abbasian and N. Mahdavi-Amiri, 2015. Modelling and optimization of a non-constrained multi-objective problem having multiple utility functions using Bayesian theory. J. Inform. Sci. Comput. Technol., 4: 332-342.
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88:   Fazlollahtabar, H., R. Hassanzadeh, I. Mahdavi and N. Mahdavi-Amiri, 2012. A genetic optimization algorithm and perceptron learning rules for a bi-criteria parallel machine scheduling. J. Chin. Inst. Ind. Eng., 29: 206-218.
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89:   Fazlollahtabar, H., T. Sherafat and A. Es'haghzadeh, 2012. A fuzzy-neural-monte carlo method to estimate online content delivery cost in e-learning. Int. J. Inform. Comput. Sci., 1: 98-105.
90:   Fazlollahtabar, H.H. and M. Mohseninejad, 2015. A neural network decision support system for analysing markets. J. Adv. Manage. Sci. Inform. Syst., 1: 38-46.
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91:   Fooladi, S., H. Fazlollahtabar and I. Mahdavi, 2013. Waste collection vehicle routing problem considering similarity pattern of trashcan. Int. J. Applied Operat. Res., 3: 105-111.
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92:   Hajibagheri, S., B. Shirazi and H. Fazlollahtabar, 2013. A review on CRM and CIS: A service oriented approach. Int. J. Innovative Ideas, 13: 63-73.
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93:   Hassanzadeh, R., I. Mahdavi, H. Fazlollahtabar and N. Mahdavi-Amiri, 2012. A web-based multi-optimization approach for convergent product networks using steiner tree. Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management, July 3-6, 2012, Istanbul, Turkey, pp: 2057-2062.
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94:   Hedayati, A., B. Shirazi and H. Fazlollahtabar, 2014. An assessment model for the state of organizational readiness in service oriented architecture implementation based on fuzzy logic. Comput. Sci. Inform. Technol., 2: 1-9.
95:   Hesami, M., H.E. Nosratabadi and H. Fazlollahtabar, 2013. Design of a fuzzy expert system for determining adjusted price of products and services. Int. J. Ind. Syst. Eng., 13: 1-26.
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96:   Hosseini, Z., H. Fazlollahtabar and I. Mahdavi, 2014. A mathematical model for waste management in reverse supply chain. Proceedings of the International Conference on Industrial Engineering and Operations Management, January 7-9, 2014, Bali, Indonesia, pp: 1473-1481.
97:   Hosseini, Z., H. Fazlollahtabar and I. Mahdavi, 2014. Waste management in reverse supply chain considering pricing. Rev. Ind. Eng. Lett., 1: 1-15.
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98:   Jafari-Samimi, A., B. Shirazi and H. Fazlollahtabar, 2007. A comparison between time series, exponential smoothing and neural network methods to forecast GDP of Iran. Iran. Econ. Rev., 12: 19-35.
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99:   Kazemi, Z., A.J. Samimi and H. Fazlollahtabar, 2016. Risk analysis for knowledge sharing in tax payment. Int. J. Knowledge-Based Organiz., 6: 20-37.
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100:   Khanlarpour, E., H. Fazlollahtabar and I. Mahdavi, 2013. Designing an intelligent warehouse based on genetic algorithm and fuzzy logic for determining reorder point and order quantity. Comput. Sci. Inform. Technol., 1: 1-8.
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101:   Khoshnoodi, R., H. Fazlollahtabar and I. Mahdavi, 2013. A sustainable reverse supply chain for customer requirement fulfillment. Uncertain Supply Chain Manage., 1: 45-56.
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102:   Koulaeian, M., H. Seidgar, M. Kiani and H. Fazlollahtabar, 2015. A multi depot simultaneous pickup and delivery problem with balanced allocation of routes to drivers. Int. J. Ind. Eng., 22: 294-313.
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103:   Mahdavi, I., H. Abbaspour-Ghomi, N. Sahebjamnia, Y. Elssazad-Roshan, H. Fazlollahtabar, N. Mahdavi-Amiri and A. Hamzehpour, 2009. Strategic development and SWOT analysis for IT/ICT programs in universities of Mazandaran. J. Digital Policy Manage., 7: 31-47.
104:   Mahdavi, I., H. Fazlollahtabar and M. Alikhani, 2013. Clustering organizational learning capability indices for knowledge sharing in different segments of the firm. Int. J. Manage. Knowl. Learn., 2: 209-225.
105:   Mahdavi, I., H. Fazlollahtabar and N. Yousefpoor, 2008. An integrated mathematical programming approach and artificial intelligence techniques for optimizing learning elements in e-learning based educational systems. Int. J. Educ. Inform. Technol., 21: 87-94.
106:   Mahdavi, I., H. Fazlollahtabar, A. Aalaei and M.H. Yahyanejad, 2012. Developing a mathematical model for team configuration in creativity process. Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management, July 3-6, 2012, Istanbul, Turkey, pp: 837-842.
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107:   Mahdavi, I., H. Fazlollahtabar, A. Heidarzade, N. Mahdavi-Amiri and Y.I. Rooshan, 2008. A heuristic methodology for multi-criteria evaluation of web-based E-learning systems based on user satisfaction. J. Applied Sci., 7: 4603-4609.
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108:   Mahdavi, I., H. Fazlollahtabar, E. Mozaffari and M. Heidari, 2008. Data envelopment analysis based comparison of two hybrid multi-criteria decision-making approaches for mobile phone selection: A case study in Iranian telecommunication environment. Int. J. Inform. Decis. Sci., 1: 194-220.
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109:   Mahdavi, I., H. Fazlollahtabar, M.M. Paydar and A. Heidarzade, 2008. Applying multi-criteria decision methods and SWOT factors to analyze the role of information technology in industry development in Iran. J. Applied Sci., 8: 2983-2990.
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110:   Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri and M. Kakouei, 2010. Designing integrated models as a decision aid in web-based marketing. J. Inform. Technol. Applic. Manage., 17: 1-10.
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111:   Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri, M. Arabmaghsudi and H. Mohammadi, 2010. Design of a fuzzy job satisfaction matrix with dynamic performance criteria: A case study at mazandaran gas company. Int. J. Data Anal. Inform. Syst., 2: 67-76.
112:   Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri, M. Arabmaghsudi and M.H. Yahyanejad, 2011. A comprehensive value engineering approach for gas pipeline projects using mathematical models and FAST: A case study of mazandaran gas company. Int. J. Busin. Inform., 6: 182-204.
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113:   Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri, M. Arabmaghsudi and M.H. Yahyanejad, 2011. Design of a creativity matrix using virtual intelligent clustering and knowledge development program. Proceedings of the International Conference on Industrial and Operations Management, January 22-24, 2011, Kuala Lampur, Malaysia, pp: 1179-1184.
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114:   Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri, M. Arabmaghsudi and M.H. Yahyanejad, 2014. A virtual intelligent creativity matrix for employees clustered interactivity network with knowledge development program. Int. J. Knowl. Based Organ., 4: 65-79.
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115:   Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri, M. Arabmaghsudi and N. Kolbadinejad, 2011. Design of a fuzzy job satisfaction matrix with dynamic performance criteria. Proceedings of the International Conference on Industrial and Operations Management, January 22-24, 2011, Kuala Lampur, Malaysia, pp: 1173-1178.
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116:   Mahdavi, I., H. Fazlollahtabar, S.H. Shafieian and N. Mahdavi-Amiri, 2010. Route selection in a dynamic multi-agent multilayer electronic supply network. J. Inform. Technol. Applic. Manage., 17: 141-155.
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117:   Mahdavi, I., N. Cho, H. Fazlollahtabar, S.H. Shafieian, N. Mahdavi-Amiri and S. Mohebbi, 2010. Agent Based Dynamic Route Selection for Multilayer Electronic Supply Network. In: Electronic Supply Network Coordination in Intelligent and Dynamic Environment: Modeling and Implementation, Mahdavi, I., S. Mohebbi and N. Cho (Eds.). IGI Publishing, Hershey, PA., USA., pp: 341-359.
118:   Mahmoudi, H. and H. Fazlollahtabar, 2013. Modelling multi-layer multi-product reverse supply chain. Stud. Syst. Sci., 1: 29-37.
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119:   Mahmoudi, H. and H. Fazlollahtabar, 2014. An integer linear programming for a comprehensive reverse supply chain. Cogent Eng., Vol. 1. 10.1080/23311916.2014.939440.
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120:   Mahmoudi, H. and H. Fazlollahtabar, 2014. Mathematical modeling for optimal facility location and product flow in a multi-layer multi-product reverse supply chain. Int. J. Adv. Ind. Eng. Manage., 3: 93-100.
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121:   Mahmoudi, H., H. Fazlollahtabar and I. Mahdavi, 2013. Mathematical modeling for minimizing costs in a multi-layer multi-product reverse supply chain. Indust. Eng. Manage. Vol., 2. 10.4172/2169-0316.1000105.
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122:   Mahmoudi, H., H. Fazlollahtabar and I. Mahdavi, 2013. Optimizing a reverse supply chain including transportation, operation, maintenance and remanufacturing costs. Int. J. Applied Operat. Res., 3: 67-78.
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123:   Mehrmanesh, H., B. Pazhoohi and H. Fazlollahtabar, 2013. Proposing a framework for performance improvement in a bi-direction multi-layer and multi-product supply chain using data mining. J. Manage. Sci. Pract., 1: 22-31.
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124:   Mehrmanesh, H., M. Aghalatifi and H. Fazlollahtabar, 2013. Strategic planning for an integrated marketing procedure in a multi-layer multi-product supply chain. Manage. Sci. Pract., 1: 86-105.
125:   Mehrmanesh, H., S. Parikhi and H. Fazlollahtabar, 2013. Modelling the customer relationship management in a multi-layer supply chain considering product life cycle. Int. J. Serv. Operat. Manage., 16: 525-547.
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126:   Mohajeri, A., I. Mahdavi and H. Fazlollahtabar, 2011. An interactive allocation for depot-customer-depot in a multi aspect supply chain network. Int. J. Eng., 24: 367-376.
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127:   Mohamadi, R.O., E. Ramazanpoor and H. Fazlollahtabar, 2012. Studies into the costs of multi- level supply chain in Kalleh Amol Meat Products company. Proceedings of the 1st International Quality Engineering Conference, December 3-4, 2012, Tehran, Iran -.
128:   Mohammadi, L., H. Fazlollahtabar and I. Mahdavi, 2013. Clustering return items in a multi-layer multi-product reverse supply chain using data mining. Open J. Math. Model., 1: 136-145.
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129:   Mohammadi, L., H. Fazlollahtabar, I. Mahdavi and A. Tajdin, 2014. Data mining on return items in a reverse supply chain. Proceedings of the International Conference on Industrial Engineering and Operations Management, January 7-9, 2014, Bali, Indonesia, pp: 1467-1472.
130:   Mojaveri, H.S. and H. Fazlollahtabar, 2012. Designing an integrated AHP based fuzzy expert system and SWOT analysis to prioritize development strategies of iran agriculture. Rev. Int. Comp. Manage., 13: 117-129.
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131:   Niroumand-Bahramnia, P., H. Fazlollahtabar, I. Mahdavi and Z. Rahmani, 2013. A model for pricing under risk in electronic marketing. Universal J. Ind. Bus. Manage., 1: 19-27.
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132:   Nosratabadi, H.E., R. Shabani and H. Fazlollahtabar, 2013. A hybrid FGAHP-ME methodology for evaluating science and technology parks with pairwise comparison analysis. Int. J. Ind. Syst. Eng., 13: 133-153.
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133:   Olya, M.H., B. Shirazi and H. Fazlollahtabar, 2013. Adapted dynamic program to find shortest path in a network having normal probability distribution arc length. Int. J. Adv. Ind. Eng. Manage., 2: 5-10.
134:   Olya, M.H., H. Fazlollahtabar and I. Mahdavi, 2013. Shortest path problem with gamma probability distribution arc length. Int. J. Applied Operat. Res., 2: 55-66.
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135:   Panahifar, F., C. Heavey, P.J. Byrne and H. Fazlollahtabar, 2015. A framework for Collaborative Planning, Forecasting and Replenishment (CPFR) state of the art. J. Enterprise Inform. Manage., 28: 838-871.
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136:   Raftani-Amiri, Z., H. Fazlollahtabar and N. Mahdavi-Amiri, 2010. A multi-period supply network of food products based on time-windows with sensitivity analysis. Opera. Supply Chain Manage., 3: 105-116.
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137:   Ramazanpoor, E., H. Fazlollahtabar and R.O. Mohammadi, 2014. Pricing in supply chain based on activity-based costing and earned value. Int. J. Adv. Ind. Eng. Manage., 3: 87-92.
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138:   Rezaie, B., F. Esmaeili and H. Fazlollahtabar, 2012. Developing the concept of pricing in a deterministic homogenous vehicle routing problem with comprehensive sensitivity analysis. Int. J. Ser. Operations Manage., 12: 20-34.
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139:   Rezaie, M., H.E. Nosratabadi and H. Fazlollahtabar, 2012. Applying KANO model for users' satisfaction assessment in e-learning systems: A case study in iran virtual higher educational systems. Int. J. Inform. Commun. Technol. Educ., 8: 1-12.
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140:   Sadeghi, S., H. Fazlollahtabar, B. Shirazi and I. Mahdavi, 2013. Mathematical modeling of a multi-layer multi-product reverse supply chain considering defects and pricing. Int. J. Sens. Comput. Control, 3: 15-28.
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141:   Saidi-Mehrabad, M. and H. Fazlollahtabar, 2016. Monte Carlo simulation to compare Markovian and neural network models for reliability assessment in multiple AGV manufacturing system. J. Optimiz. Ind. Eng., 9: 75-86.
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142:   Salarian, R. and H. Fazlollahtabar, 2015. Multioptimization in a cellular manufacturing system having stochastic parameters considering pricing. J. Manuf. Sci. Prod., 15: 257-265.
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143:   Salarian, R., H. Fazlollahtabar and I. Mahdavi, 2013. Inter-cell movement minimisation in a cellular manufacturing system having stochastic parameters. Int. J. Serv. Operat. Manage., 17: 67-87.
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144:   Seidgar, H., M. Kiani and H. Fazlollahtabar, 2016. Genetic and artificial bee colony algorithms for scheduling of multi-skilled manpower in combined manpower-vehicle routing problem. Prod. Manuf. Res., 4: 133-151.
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145:   Seidgar, H., M. Kiani, M. Abedi and H. Fazlollahtabar, 2014. An efficient imperialist competitive algorithm for scheduling in the two-stage assembly flow shop problem. Int. J. Prod. Res., 52: 1240-1256.
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146:   Seidgar, H., M. Zandieh, H. Fazlollahtabar and I. Mahdavi, 2016. Simulated imperialist competitive algorithm in two-stage assembly flow shop with machine breakdowns and preventive maintenance. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., 230: 934-953.
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147:   Shahri, S., H. Fazlollahtabar, I. Mahdavi and Z. Rahmani, 2013. Improvement model for strategic planning in the frame of earned value using mathematical clustering. Universal J. Ind. Bus. Manage., 1: 8-18.
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148:   Shiazi, B., H. Fazlollahtabar and N. Sahebjamnia, 2010. Minimizing arbitrary earliness/tardiness penalties with common due date in single-machine scheduling problem using a tabu-geno-simulated annealing. Mater. Manuf., 25: 515-525.
149:   Shirazi, B., H. Fazlollahtabar and D. Shafiei, 2008. A genetic approach to optimize mathematical model of facilities relocation problem in supply chain. J. Applied Sci., 8: 3119-3128.
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150:   Shirazi, B., H. Fazlollahtabar and I. Mahdavi, 2010. A six sigma based multi-objective optimization for machine grouping control in flexible cellular manufacturing systems with guide-path flexibility. Adv. Eng. Software, 41: 865-873.
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151:   Shojaeifar, A., H. Fazlollahtabar and I. Mahdavi, 2016. Decomposition versus minimal path and cuts methods for reliability evaluation of an advanced robotic production system. J. Autom. Mobile Rob. Intell. Syst., 10: 52-57.
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152:   Taheri, M., B. Shirazi and H. Fazlollahtabar, 2014. QoS-based web services composition using an improved genetic algorithm. Int. J. Bus. Econ. Manage. Stud., 1: 35-53.
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153:   Taheri, M., B. Shirazi and H. Fazlollahtabar, 2014. QoS-based web services composition using water flow-like algorithm. Inform. Eng., 3: 27-38.
154:   Tajdin, A., I. Mahdavi, B. Shirazi, N. Sahebjamnia and H. Fazlollahtabar, 2008. Designing an assessment method for e-learning environment using real-time simulators. J. Applied Sci., 8: 3491-3496.
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155:   Tavana, M., H. Fazlollahtabar and H. Hajmohammadi, 2012. Supplier selection and order allocation with process performance index in supply chain management. Int. J. Inform. Decis. Sci., 4: 329-349.
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156:   Torkjazi, M. and H. Fazlollahtabar, 2015. A fuzzy probabilistic maximum technique to optimize an unconstrained utility based multi objective model. Ind. Eng. Manage., Vol. 3. 10.4172/2169-0316.1000147.
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157:   Torkjazi, M. and H. Fazlollahtabar, 2015. Applying a utility based fuzzy probabilistic α-cut method to optimize a constrained multi objective model. Creative Math. Inform., 24: 217-226.
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158:   Torkjazi, M., H. Fazlollahtabar and I. Mahdavi, 2014. Optimizing an unconstrained multi objective model using a utility based fuzzy probabilistic α-cut method. J. Intell. Fuzzy Syst., 26: 2927-2936.
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