| Flow control of fluid in pipelines using PID controller S Razvarz, C Vargas-Jarillo, R Jafari, A Gegov IEEE Access 7, 25673-25680, 2019 | 59 | 2019 |
| Fuzzy Modeling for Uncertainty Nonlinear Systems with Fuzzy Equations R Jafari, W Yu Mathematical Problems in Engineering 2017 (https://doi.org/10.1155/2017 …, 2017 | 57* | 2017 |
| Fuzzy control for uncertainty nonlinear systems with dual fuzzy equations R Jafari, W Yu Journal of Intelligent & Fuzzy Systems 29 (3), 1229-1240, 2015 | 54 | 2015 |
| Solution of Fuzzy Differential Equations Using Fuzzy Sumudu Transforms R Jafari, S Razvarz Optimization in Control Applications 23, 186-200, 2018 | 47 | 2018 |
| Solution of Fuzzy Differential Equations Using Fuzzy Sumudu Transforms R Jafari, S Razvarz Mathematical and Computational Applications 23 (5), 1-15, 2018 | 47 | 2018 |
| Solution of Fuzzy Differential Equations using Fuzzy Sumudu Transforms R Jafari, S Razvarz 2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017 | 47 | 2017 |
| Fuzzy Differential Equations for Nonlinear System Modeling With Bernstein Neural Networks R Jafari, W Yu, X Li IEEE Access 4, 9428-9436, 2017 | 45 | 2017 |
| Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number W Yu, R Jafari John Wiley & Sons,Inc., Hoboken, New Jersey, United States of America, 2019 | 39* | 2019 |
| Neural network approach to solving fuzzy nonlinear equations using Z-numbers R Jafari, S Razvarz, A Gegov IEEE Transactions on Fuzzy Systems 28 (7), 1230-1241, 2019 | 38 | 2019 |
| A New Computational Method for Solving Fully Fuzzy Nonlinear Systems R Jafari, S Razvarz, A Gegov Computational Collective Intelligence, 2018 | 36 | 2018 |
| Solving fully fuzzy polynomials using feed-back neural networks A Jafarian, R Jafari, AK Golmankhaneh, D Baleanu International Journal of Computer Mathematics 92 (4), 742-755, 2015 | 34 | 2015 |
| Numerical solution of fuzzy equations with Z-numbers using neural networks R Jafari, W Yu, X Li Intelligent Automation & Soft Computing, 1-7, 2017 | 33 | 2017 |
| ICA and ANN modeling for photocatalytic removal of pollution in wastewater S Razvarz, R Jafari Mathematical and Computational Applications 22 (3), 38, 2017 | 33 | 2017 |
| Numerical solution of fuzzy differential equations with Z-numbers using Bernstein neural networks R Jafari, W Yu, X Li, S Razvarz International Journal of Computational Intelligence Systems 10 (1), 1226-1237, 2017 | 31 | 2017 |
| Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers R Jafari, S Razvarz, A Gegov, S Paul Advances in Computational Intelligence Systems, 2018 | 29 | 2018 |
| Numerical methods for solving fuzzy equations: A survey R Jafari, W Yu, S Razvarz, A Gegov Fuzzy Sets and Systems 404, 1-22, 2021 | 27 | 2021 |
| Approximate solutions of dual fuzzy polynomials by feed-back neural networks A Jafarian, R Jafari Journal of Soft Computing and Applications 2012 (1), 1-16, 2012 | 26 | 2012 |
| Applications of fuzzy logic, artificial neural network and neuro-fuzzy in industrial engineering R Jafari, MA Contreras, W Yu, A Gegov Industrial and Robotic Systems: LASIRS 2019, 9-14, 2020 | 24 | 2020 |
| Leakage detection in pipeline based on second order extended Kalman filter observer S Razvarz, R Jafari, A Gegov, S Razvarz, R Jafari, A Gegov Flow Modelling and Control in Pipeline Systems: A Formal Systematic Approach …, 2021 | 23 | 2021 |
| Solving Differential Equations with Z-Numbers by Utilizing Fuzzy Sumudu Transform R Jafari, S Razvarz, A Gegov Intelligent Systems and Applications 869, 1125-1138, 2018 | 23 | 2018 |
Sina RazvarzDepartamento de Control Automatico CINVESTAV-IPN (National Polytechnic Institute) Mexico CityVerified email at ctrl.cinvestav.mx
