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 | 310 | 2014 |
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 | 207 | 2016 |
An improved method for edge detection based on interval type-2 fuzzy logic P Melin, O Mendoza, O Castillo Expert Systems with Applications 37 (12), 8527-8535, 2010 | 198 | 2010 |
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 | 166 | 2016 |
Face recognition with an improved interval type-2 fuzzy logic sugeno integral and modular neural networks P Melin, O Mendoza, O Castillo IEEE Transactions on systems, man, and cybernetics-Part A: systems and …, 2011 | 145 | 2011 |
Interval type-2 fuzzy logic and modular neural networks for face recognition applications O Mendoza, P Melín, O Castillo Applied soft computing 9 (4), 1377-1387, 2009 | 115 | 2009 |
A hybrid approach for image recognition combining type-2 fuzzy logic, modular neural networks and the Sugeno integral O Mendoza, P Melin, G Licea Information Sciences 179 (13), 2078-2101, 2009 | 104 | 2009 |
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 | 100 | 2020 |
A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting P Melin, A Mancilla, M Lopez, O Mendoza Applied Soft Computing 7 (4), 1217-1226, 2007 | 95 | 2007 |
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 | 86 | 2016 |
A new method for edge detection in image processing using interval type-2 fuzzy logic O Mendoza, P Melin, G Licea 2007 IEEE International Conference on Granular Computing (GRC 2007), 151-151, 2007 | 71 | 2007 |
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 | 65 | 2017 |
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 | 62 | 2011 |
Interval type‐2 fuzzy logic for edges detection in digital images O Mendoza, P Melin, G Licea International Journal of Intelligent Systems 24 (11), 1115-1133, 2009 | 49 | 2009 |
Type-2 fuzzy logic for improving training data and response integration in modular neural networks for image recognition O Mendoza, P Melin, O Castillo, G Licea International Fuzzy Systems Association World Congress, 604-612, 2007 | 41 | 2007 |
Modular neural networks and type-2 fuzzy logic for face recognition O Mendoza, G Licea, P Melin NAFIPS 2007-2007 Annual Meeting of the North American Fuzzy Information …, 2007 | 33 | 2007 |
General type-2 fuzzy sugeno integral for edge detection GE Martínez, CI Gonzalez, O Mendoza, P Melin Journal of Imaging 5 (8), 71, 2019 | 29 | 2019 |
Fuzzy index to evaluate edge detection in digital images F Perez-Ornelas, O Mendoza, P Melin, JR Castro, A Rodriguez-Diaz, ... PloS one 10 (6), e0131161, 2015 | 25 | 2015 |
Fuzzy Inference Systems Type-1 and Type-2 for Digital Images Edge Detection. O Mendoza, P Melín, GL Sandoval Eng. Lett. 15 (1), 45-52, 2007 | 22 | 2007 |
Method for higher order polynomial sugeno fuzzy inference systems JR Castro, O Castillo, MA Sanchez, O Mendoza, A Rodríguez-Diaz, ... Information Sciences 351, 76-89, 2016 | 21 | 2016 |