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Fuzzy differential evolution method with dynamic parameter adaptation using type-2 fuzzy logic.

, , and . IEEE Conf. on Intelligent Systems, page 113-118. IEEE, (2016)

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Identification of the Workspace of a Hexapod Mobile Robot Using Multobjective Optimization., , , and . Computación y Sistemas, (2017)Classification of Encephalographic Signals using Artificial Neural Networks., , , , and . Computación y Sistemas, (2015)Study on the Use of Type-1 and Interval Type-2 Fuzzy Systems Applied to Benchmark Functions Using the Fuzzy Harmony Search Algorithm., , and . NAFIPS, volume 648 of Advances in Intelligent Systems and Computing, page 94-103. Springer, (2017)Methodology for the Optimization of a Fuzzy Controller Using a Bio-inspired Algorithm., , and . NAFIPS, volume 648 of Advances in Intelligent Systems and Computing, page 131-137. Springer, (2017)Interval Type-2 Fuzzy Logic for Control Applications.. GrC, page 79-84. IEEE Computer Society, (2010)Optimization by Cuckoo Search of Interval Type-2 Fuzzy Logic Systems for Edge Detection., , , , and . WCSC, volume 342 of Studies in Fuzziness and Soft Computing, page 141-154. Springer, (2014)Optimization of Type-1 and Type-2 Fuzzy Systems Applied to Pattern Recognition., , and . WCSC, volume 342 of Studies in Fuzziness and Soft Computing, page 127-139. Springer, (2014)Statistical comparison of type-1 and type-2 fuzzy systems design with genetic algorithms in the case of three tank water control., and . IFSA/NAFIPS, page 1056-1061. IEEE, (2013)Time series prediction using ensembles of neuro-fuzzy models with interval type-2 and type-1 fuzzy integrators., , and . IJCNN, page 1-6. IEEE, (2013)Towards an Adaptive Control Strategy Based on Type-2 Fuzzy Logic for Autonomous Mobile Robots., , and . FUZZ-IEEE, page 1-6. IEEE, (2019)