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Comparative Study of Type-2 Fuzzy Particle Swarm, Bee Colony and Bat Algorithms in Optimization of Fuzzy Controllers., , , , , и . Algorithms, 10 (3): 101 (2017)Statistical Analysis of Type-1 and Interval Type-2 Fuzzy Logic in dynamic parameter adaptation of the BCO., и . IFSA-EUSFLAT, Atlantis Press, (2015)A Generalized Type-2 Fuzzy Logic System for the dynamic adaptation the parameters in a Bee Colony Optimization algorithm applied in an autonomous mobile robot control., , и . FUZZ-IEEE, стр. 537-544. IEEE, (2016)An Efficient Chicken Search Optimization Algorithm for the Optimal Design of Fuzzy Controllers., , , и . Axioms, 10 (1): 30 (2021)An Interval Type-2 Fuzzy Logic Approach for Dynamic Parameter Adaptation in a Whale Optimization Algorithm Applied to Mathematical Functions., и . Axioms, 13 (1): 33 (января 2024)Comparative Study of Metrics That Affect in the Performance of the Bee Colony Optimization Algorithm Through Interval Type-2 Fuzzy Logic Systems., и . NAFIPS, том 648 из Advances in Intelligent Systems and Computing, стр. 61-72. Springer, (2017)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., , , и . Inf. Sci., (2016)A New Approach for Interval Type-3 Fuzzy Control of Nonlinear Plants., , , и . Int. J. Fuzzy Syst., 25 (4): 1624-1642 (июня 2023)Comparison of the Optimal Design of Fuzzy Controllers for the Water Tank Using Ant Colony Optimization., и . Recent Advances on Hybrid Approaches for Designing Intelligent Systems, том 547 из Studies in Computational Intelligence, Springer, (2014)Comparative Analysis of Designing Differents Types of Membership Functions Using Bee Colony Optimization in the Stabilization of Fuzzy Controllers., и . Nature-Inspired Design of Hybrid Intelligent Systems, том 667 из Studies in Computational Intelligence, Springer, (2017)