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An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination., , , , and . IEEE Trans. Neural Networks Learn. Syst., 26 (7): 1442-1455 (2015)A Recurrent Self-Evolving Interval Type-2 Fuzzy Neural Network for Dynamic System Processing., , and . IEEE Trans. Fuzzy Syst., 17 (5): 1092-1105 (2009)A Mutually Recurrent Interval Type-2 Neural Fuzzy System (MRIT2NFS) With Self-Evolving Structure and Parameters., , , and . IEEE Trans. Fuzzy Syst., 21 (3): 492-509 (2013)A TSK-Type-Based Self-Evolving Compensatory Interval Type-2 Fuzzy Neural Network (TSCIT2FNN) and Its Applications., , and . IEEE Trans. Ind. Electron., 61 (1): 447-459 (2014)A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism., , , , and . Neurocomputing, (2015)Using a Novel LDA-Ensemble Framework to Classification of Motor Imagery Tasks for Brain-Computer Interface Applications., , , , and . ICS, volume 274 of Frontiers in Artificial Intelligence and Applications, page 150-156. IOS Press, (2014)An interval type-2 neural fuzzy inference system (IT2NFIS) with compensatory operator., , and . IFSA/NAFIPS, page 884-889. IEEE, (2013)A learning scheme to Fuzzy C-Means based on a compromise in updating membership degrees., , , , and . FUZZ-IEEE, page 1534-1537. IEEE, (2014)A functional-link based interval type-2 compensatory fuzzy neural network for nonlinear system modeling., , , and . FUZZ-IEEE, page 939-943. IEEE, (2011)Neuro-fuzzy system design using differential evolution with local information., , , , and . FUZZ-IEEE, page 1003-1006. IEEE, (2011)