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 | 297 | 2015 |
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 | 233 | 2016 |
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 | 151 | 2015 |
Fuzzy granular gravitational clustering algorithm for multivariate data MA Sanchez, O Castillo, JR Castro, P Melin Information Sciences 279, 498-511, 2014 | 141 | 2014 |
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 | 103 | 2020 |
Lightweight authentication protocol for M2M communications of resource-constrained devices in industrial Internet of Things E Lara, L Aguilar, MA Sanchez, JA García Sensors 20 (2), 501, 2020 | 98 | 2020 |
Review of recent type-2 fuzzy image processing applications O Castillo, MA Sanchez, CI Gonzalez, GE Martinez Information 8 (3), 97, 2017 | 66 | 2017 |
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 |
A new method for parameterization of general type-2 fuzzy sets JR Castro, MA Sanchez, CI Gonzalez, P Melin, O Castillo Fuzzy Information and Engineering 10 (1), 31-57, 2018 | 32 | 2018 |
Adaptive security based on mape-k: A survey E Lara, L Aguilar, MA Sanchez, JA García Applied Decision-Making: Applications in Computer Sciences and Engineering …, 2019 | 24 | 2019 |
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 | 22 | 2016 |
Hybrid learning for general type-2 TSK fuzzy logic systems MA Sanchez, JR Castro, V Ocegueda-Miramontes, L Cervantes Algorithms 10 (3), 99, 2017 | 21 | 2017 |
Interpretable Mamdani neuro-fuzzy model through context awareness and linguistic adaptation R Navarro-Almanza, MA Sanchez, JR Castro, O Mendoza, G Licea Expert Systems with Applications 189, 116098, 2022 | 19 | 2022 |
A lightweight cipher based on salsa20 for resource-constrained IoT devices E Lara, L Aguilar, JA García, MA Sanchez Sensors 18 (10), 3326, 2018 | 17 | 2018 |
Formation of general type-2 Gaussian membership functions based on the information granule numerical evidence MA Sanchez, JR Castro, O Castillo 2013 IEEE workshop on hybrid intelligent models and applications (HIMA), 1-6, 2013 | 14 | 2013 |
An overview of granular computing using fuzzy logic systems MA Sanchez, O Castillo, JR Castro Nature-inspired design of hybrid intelligent systems, 19-38, 2017 | 13 | 2017 |
Fuzzy granular gravitational clustering algorithm MA Sanchez, O Castillo, JR Castro, A Rodriguez-Diaz 2012 Annual Meeting of the North American Fuzzy Information Processing …, 2012 | 13 | 2012 |
A hybrid method for IT2 TSK formation based on the principle of justifiable granularity and PSO for spread optimization MA Sanchez, JR Castro, F Perez-Ornelas, O Castillo 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 1268 …, 2013 | 11 | 2013 |
An analysis on the intrinsic implementation of the principle of justifiable granularity in clustering algorithms MA Sanchez, O Castillo, JR Castro Recent Advances on Hybrid Intelligent Systems, 121-134, 2013 | 8 | 2013 |
Big Data and Computational Intelligence: Background, Trends, Challenges, and Opportunities S Nakasima-López, MA Sanchez, JR Castro Computer Science and Engineering—Theory and Applications, 183-196, 2018 | 7 | 2018 |