| A generalized type-2 fuzzy granular approach with applications to aerospace O Castillo, L Cervantes, J Soria, M Sanchez, JR Castro Information Sciences 354, 165-177, 2016 | 224 | 2016 |
| Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control L Cervantes, O Castillo Information Sciences 324, 247-256, 2015 | 200 | 2015 |
| Design of a Fuzzy System for the Longitudinal Control of an F-14 Airplane L Cervantes, O Castillo Soft computing for intelligent control and mobile robotics, 213-224, 2011 | 40 | 2011 |
| Fuzzy dynamic adaptation of gap generation and mutation in genetic optimization of type 2 fuzzy controllers L Cervantes, O Castillo, D Hidalgo, R Martinez-Soto Advances in Operations Research 2018, 2018 | 31 | 2018 |
| Intelligent control of nonlinear dynamic plants using a hierarchical modular approach and type-2 fuzzy logic L Cervantes, O Castillo, P Melin Advances in Soft Computing: 10th Mexican International Conference on …, 2011 | 30 | 2011 |
| Hierarchical genetic algorithms for optimal type-2 fuzzy system design P Melin, D Sanchez, L Cervantes 2011 Annual Meeting of the North American Fuzzy Information Processing …, 2011 | 29 | 2011 |
| Genetic design of optimal type-1 and type-2 fuzzy systems for longitudinal control of an airplane O Castillo, L Cervantes Intelligent Automation & Soft Computing 20 (2), 213-227, 2014 | 24 | 2014 |
| A new approach to control of multivariable systems through a hierarchical aggregation of fuzzy controllers O Castillo, L Cervantes, P Melin, W Pedrycz Granular Computing 4, 1-13, 2019 | 22 | 2019 |
| Hybrid learning for general type-2 TSK fuzzy logic systems MA Sanchez, JR Castro, V Ocegueda-Miramontes, L Cervantes Algorithms 10 (3), 99, 2017 | 19 | 2017 |
| Fuzzy parameter adaptation in genetic algorithms for the optimization of fuzzy integrators in modular neural networks for multimodal biometry D Hidalgo, L Cervantes, O Castillo, P Melin, R Martínez Soto Computación y Sistemas 24 (3), 1093-1105, 2020 | 14 | 2020 |
| Automatic design of fuzzy systems for control of aircraft dynamic systems with genetic optimization L Cervantes, O Castillo World Congress and AFSS International Conference, pp. OS-413-1–OS-413-7, 2011 | 14 | 2011 |
| Comparative study of type-1 and type-2 fuzzy systems for the three-tank water control problem L Cervantes, O Castillo, P Melin, F Valdez Advances in Computational Intelligence: 11th Mexican International …, 2013 | 13 | 2013 |
| Genetic optimization of membership functions in modular fuzzy controllers for complex problems L Cervantes, O Castillo Recent Advances on Hybrid Intelligent Systems, 51-62, 2013 | 12 | 2013 |
| Hierarchical aggregation of multiple fuzzy controllers for global complex control problems L Cervantes, O Castillo, J Soria Applied Soft Computing 38, 851-859, 2016 | 10 | 2016 |
| Statistical comparison of type-1 and type-2 fuzzy systems design with genetic algorithms in the case of three tank water control L Cervantes, O Castillo 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 1056 …, 2013 | 10 | 2013 |
| Design of optimal membership functions for fuzzy controllers of the water tank and inverted pendulum with PSO variants R Fierro, O Castillo, F Valdez, L Cervantes 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 1068 …, 2013 | 7 | 2013 |
| Performance comparison between type-1 and type-2 fuzzy logic control applied to insulin pump injection in real time for patients with diabetes L Cervantes, C Caraveo, O Castillo Mathematics 11 (3), 730, 2023 | 5 | 2023 |
| Intelligent search of values for a controller using the artificial bee colony algorithm to control the velocity of displacement of a robot JM Villegas, C Caraveo, DA Mejía, JL Rodríguez, Y Vega, L Cervantes, ... Algorithms 14 (9), 273, 2021 | 3 | 2021 |
| Hierarchical type-2 fuzzy aggregation of fuzzy controllers L Cervantes, O Castillo Springer, 2016 | 2 | 2016 |
| Genetic optimization of modular type-1 fuzzy controllers for complex control problems L Cervantes, O Castillo Soft Computing Applications in Optimization, Control, and Recognition, 125-154, 2013 | 2 | 2013 |
