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Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions Applied to Benchmark Problems.

, , and . MICAI (2), volume 6438 of Lecture Notes in Computer Science, page 454-464. Springer, (2010)

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A New Evolutionary Method with a Hybrid Approach Combining Particle Swarm Optimization and Genetic Algorithms using Fuzzy Logic for Decision Making., , , and . IEEE Congress on Evolutionary Computation, page 1333-1339. IEEE, (2008)Controlling chaotic and unstable behavior in non-linear biochemical reactors by using a new neuro-fuzzy-fractal approach., and . FUZZ-IEEE, page 949-952. IEEE, (2000)Fuzzy System Optimization Using a Hierarchical Genetic Algorithm Applied to Pattern Recognition., , and . IEEE Conf. on Intelligent Systems (2), volume 323 of Advances in Intelligent Systems and Computing, page 713-720. Springer, (2014)Genetic Optimization of Type-1 and Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction., , and . WCSC, volume 342 of Studies in Fuzziness and Soft Computing, page 331-351. Springer, (2014)Third International Seminar on Computational Intelligence 2006, IEEE CIS Mexico Chapter Family Corner.. IEEE Comput. Intell. Mag., 2 (1): 19 (2007)Analyzing the effects of the Footprint of Uncertainty in Type-2 Fuzzy Logic Controllers., , , , and . Eng. Lett., 13 (2): 138-147 (2006)Multi-objective optimization for modular granular neural networks applied to pattern recognition., and . Inf. Sci., (2018)Optimization of modular granular neural networks using hierarchical genetic algorithms for human recognition using the ear biometric measure., and . Eng. Appl. Artif. Intell., (2014)Designing hybrid classifiers based on general type-2 fuzzy logic and support vector machines., , and . Soft Comput., 24 (23): 18009-18019 (2020)Fuzzy Logic for Combining Particle Swarm Optimization and Genetic Algorithms: Preliminary Results., , and . MICAI, volume 5845 of Lecture Notes in Computer Science, page 444-453. Springer, (2009)