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Hybrid Learning Algorithm for Interval Type-2 Fuzzy Neural Networks.

, , , and . GrC, page 157-162. IEEE Computer Society, (2007)

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The Human Evolutionary Model: A new approach for solving nonlinear optimization problems avoiding the problem of cycling., , , , , and . Eng. Lett., 13 (2): 117-123 (2006)Optimization of Type-2 Fuzzy Logic Controllers Using PSO Applied to Linear Plants., , , and . Soft Computing for Intelligent Control and Mobile Robotics, volume 318 of Studies in Computational Intelligence, Springer, (2011)A Simulink Model for Testing Uncertainty In Type-2 Fuzzy Controllers., , , , and . IC-AI, page 419-425. CSREA Press, (2005)Fuzzy Sets in Dynamic Adaptation of Parameters of a Bee Colony Optimization for Controlling the Trajectory of an Autonomous Mobile Robot., , , , , and . Sensors, 16 (9): 1458 (2016)Building Fuzzy Inference Systems with a New Interval Type-2 Fuzzy Logic Toolbox., , , and . Trans. Comput. Sci., (2008)TA-Fuzzy Semantic Networks for Interaction Representation in Social Simulation., , , and . Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control, volume 257 of Studies in Computational Intelligence, Springer, (2009)Agent Communication Using Semantic Networks., , , , and . Soft Computing for Intelligent Control and Mobile Robotics, volume 318 of Studies in Computational Intelligence, Springer, (2011)Assessment of Uncertainty in the Projective Tree Test Using an ANFIS Learning Approach., , , and . MICAI (2), volume 7095 of Lecture Notes in Computer Science, page 46-57. Springer, (2011)Social Systems Simulation Person Modeling as Systemic Constructivist Approach., , , and . Soft Computing for Hybrid Intelligent Systems, volume 154 of Studies in Computational Intelligence, Springer, (2008)Optimization of Type-2 Fuzzy Logic Controllers for Mobile Robots Using Evolutionary Methods., , , , and . SMC, page 4764-4769. IEEE, (2009)