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Juan R. Castro
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A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems
O Castillo, L Amador-Angulo, JR Castro, M Garcia-Valdez
Information Sciences 354, 257-274, 2016
4332016
A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
JR Castro, O Castillo, P Melin, A Rodríguez-Díaz
Information Sciences 179 (13), 2175-2193, 2009
3312009
Edge-detection method for image processing based on generalized type-2 fuzzy logic
P Melin, CI Gonzalez, JR Castro, O Mendoza, O Castillo
IEEE transactions on fuzzy systems 22 (6), 1515-1525, 2014
3042014
Generalized type-2 fuzzy systems for controlling a mobile robot and a performance comparison with interval type-2 and type-1 fuzzy systems
MA Sanchez, O Castillo, JR Castro
Expert Systems with Applications 42 (14), 5904-5914, 2015
2912015
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
2252016
An improved sobel edge detection method based on generalized type-2 fuzzy logic
CI Gonzalez, P Melin, JR Castro, O Mendoza, O Castillo
Soft Computing 20, 773-784, 2016
2052016
An interval type-2 fuzzy logic toolbox for control applications
JR Castro, O Castillo, P Melin
2007 IEEE international fuzzy systems conference, 1-6, 2007
1672007
Optimization of interval type-2 fuzzy systems for image edge detection
CI Gonzalez, P Melin, JR Castro, O Castillo, O Mendoza
Applied Soft Computing 47, 631-643, 2016
1652016
Interval Type-2 Fuzzy Logic Toolbox.
JR Castro, O Castillo, LG Martinez
Eng. Lett. 15 (1), 89-98, 2007
1622007
Information granule formation via the concept of uncertainty-based information with interval type-2 fuzzy sets representation and Takagi–Sugeno–Kang consequents optimized with …
MA Sanchez, O Castillo, JR Castro
Applied Soft Computing 27, 602-609, 2015
1512015
Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO
F Gaxiola, P Melin, F Valdez, JR Castro, O Castillo
Applied Soft Computing 38, 860-871, 2016
1462016
Fuzzy granular gravitational clustering algorithm for multivariate data
MA Sanchez, O Castillo, JR Castro, P Melin
Information Sciences 279, 498-511, 2014
1372014
Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction
O Castillo, JR Castro, P Melin, A Rodriguez-Diaz
Soft Computing 18, 1213-1224, 2014
1102014
Building fuzzy inference systems with a new interval type-2 fuzzy logic toolbox
JR Castro, O Castillo, P Melin, A Rodríguez-Díaz
Transactions on computational science I, 104-114, 2008
1012008
Visualisation of gas–oil two-phase flows in pressurised pipes using electrical capacitance tomography
JC Gamio, J Castro, L Rivera, J Alamilla, F Garcia-Nocetti, L Aguilar
Flow Measurement and Instrumentation 16 (2-3), 129-134, 2005
1002005
Design of an interval Type-2 fuzzy model with justifiable uncertainty
JE Moreno, MA Sanchez, O Mendoza, A Rodríguez-Díaz, O Castillo, ...
Information Sciences 513, 206-221, 2020
972020
Fuzzy sets in dynamic adaptation of parameters of a bee colony optimization for controlling the trajectory of an autonomous mobile robot
L Amador-Angulo, O Mendoza, JR Castro, A Rodríguez-Díaz, P Melin, ...
Sensors 16 (9), 1458, 2016
852016
Computational intelligence software for interval type‐2 fuzzy logic
O Castillo, P Melin, JR Castro
Computer Applications in Engineering Education 21 (4), 737-747, 2013
642013
Fuzzy higher type information granules from an uncertainty measurement
MA Sanchez, JR Castro, O Castillo, O Mendoza, A Rodriguez-Diaz, ...
Granular Computing 2, 95-103, 2017
632017
An interval type-2 fuzzy neural network for chaotic time series prediction with cross-validation and akaike test
JR Castro, O Castillo, P Melin, O Mendoza, A Rodríguez-Díaz
Soft Computing for Intelligent Control and Mobile Robotics, 269-285, 2011
612011
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