| A Fuzzy DEMATEL framework for modeling cause and effect relationships of strategy map J Jassbi, F Mohamadnejad, H Nasrollahzadeh Expert systems with Applications 38 (5), 5967-5973, 2011 | 212 | 2011 |
| A comparison of mandani and sugeno inference systems for a space fault detection application JJ Jassbi, PJA Serra, RA Ribeiro, A Donati 2006 World Automation Congress, 1-8, 2006 | 64 | 2006 |
| A comparison of mandani and sugeno inference systems for a space fault detection application JJ Jassbi, PJA Serra, RA Ribeiro, A Donati 2006 World Automation Congress, 1-8, 2006 | 64 | 2006 |
| Dynamic MCDM with future knowledge for supplier selection JJ Jassbi, RA Ribeiro, LR Varela Journal of Decision Systems 23 (3), 232-248, 2014 | 38 | 2014 |
| Using topsis method with goal programming for best selection of strategic plans in BSC model J Daniel, RM Yusuff, J Jassbi Journal of American Science 6 (3), 136-142, 2010 | 35 | 2010 |
| Transformation of a Mamdani FIS to first order Sugeno FIS J Jassbi, SH Alavi, PJA Serra, RA Ribeiro 2007 IEEE International Fuzzy Systems Conference, 1-6, 2007 | 28 | 2007 |
| Application of adaptive neuro fuzzy inference system in measurement of supply chain agility: Real case study of a manufacturing company SM Seyedhoseini, J Jassbi, N Pilevari African Journal of Business Management 4 (1), 83, 2010 | 24 | 2010 |
| An adaptive neuro fuzzy inference system for supply chain agility evaluation J Jassbi, SM Seyedhosseini, N Pilevari International Journal of Industrial Engineering & Production Research 20 (4 …, 2010 | 22 | 2010 |
| Assessment system based on fuzzy scoring in European foundation for quality management (EFQM): Business excellence model J Daniel, RM Yusuff, J Jassbi African Journal of Business Management 5 (15), 6209-6220, 2011 | 19 | 2011 |
| Route selection based on soft MODM framework in transportation of hazardous materials J Jassbi, P Makvandi Applied Mathematical Sciences 63 (4), 3121-3132, 2010 | 17 | 2010 |
| A new mathematical model for time cost trade-off problem with budget limitation based on time value of money H Nikoomaram, FH Lotfi, J Jassbi, MR Shahriari Applied Mathematical Sciences 4 (63), 3107-3119, 2010 | 15 | 2010 |
| Soft system modeling in transportation planning: Modeling trip flows based on the fuzzy inference system approach J Jassbi, P Makvandi, M Ataei, PAC Sousa African Journal of Business Management 5 (2), 505-514, 2011 | 14 | 2011 |
| Application of genetic algorithm and neural network in forecasting with good data P Makvandi, J Jassbi, S Khanmohammadi System 1 (X2), X3, 2005 | 14 | 2005 |
| The impact of cloud manufacturing on supply chain agility J Jassbi, G Di Orio, D Barata, J Barata 2014 12th IEEE International conference on industrial informatics (INDIN …, 2014 | 13 | 2014 |
| Designing fuzzy multi criteria decision making model for best selection of areas for Improvement in EFQM (European Foundation for Quality Management) model J Dodangeh, RM Yusuff, N Ismail, MY Ismail, MRB Zadeh, J Jassbi African Journal of Business Management, 2011 | 13 | 2011 |
| A review on major business excellence frameworks J Daniel, RM Yusuff, N Ismail, Y Ismail, MR Beik Zadeh, J Jassbi Technics Technologies Education Management 7 (3), 1386-1393, 2012 | 12 | 2012 |
| Defining fuzzy measures: a comparative study with genetic and gradient descent algorithms SH Alavi, J Jassbi, PJA Serra, RA Ribeiro Intelligent Engineering Systems and Computational Cybernetics, 427-437, 2009 | 10 | 2009 |
| A framework for evaluation of resilience of disaster rescue networks J Jassbi, LM Camarinha-Matos, J Barata Working Conference on Virtual Enterprises, 146-158, 2015 | 9 | 2015 |
| An empirical investigation for alignment of communities of practice with organization using fuzzy delphi panel A Jassbi, J Jassbi, P Akhavan, MT Chu, M Piri Vine, 2015 | 9 | 2015 |
| Assessing flexibility in supply chain using adaptive neuro fuzzy inference system H Didehkhani, J Jassbi, N Pilevari 2009 IEEE International Conference on Industrial Engineering and Engineering …, 2009 | 9 | 2009 |
