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Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems.

, , and . Expert Syst. Appl., 42 (14): 5904-5914 (2015)

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Review of Recent Type-2 Fuzzy Image Processing Applications., , , and . Inf., 8 (3): 97 (2017)Chapter Two - Human behavioral anomaly pattern mining within an IoT environment: An exploratory study., , , , , , and . Adv. Comput., (2024)A hybrid method for IT2 TSK formation based on the principle of justifiable granularity and PSO for spread optimization., , , and . IFSA/NAFIPS, page 1268-1273. IEEE, (2013)Method for Uncertainty Measurement and Its Application to the Formation of Interval Type-2 Fuzzy Sets., , and . IWIFSGN@FQAS, volume 401 of Advances in Intelligent Systems and Computing, page 61-74. Springer, (2015)An Analysis on the Intrinsic Implementation of the Principle of Justifiable Granularity in Clustering Algorithms., , and . Recent Advances on Hybrid Intelligent Systems, volume 451 of Studies in Computational Intelligence, Springer, (2013)Method for Higher Order polynomial Sugeno Fuzzy Inference Systems., , , , , and . Inf. Sci., (2016)A generalized type-2 fuzzy granular approach with applications to aerospace., , , , and . Inf. Sci., (2016)Design of an interval Type-2 fuzzy model with justifiable uncertainty., , , , , , and . Inf. Sci., (2020)A Lightweight Cipher Based on Salsa20 for Resource-Constrained IoT Devices., , , and . Sensors, 18 (10): 3326 (2018)Information granule formation via the concept of uncertainty-based information with Interval Type-2 Fuzzy Sets representation and Takagi-Sugeno-Kang consequents optimized with Cuckoo search., , and . Appl. Soft Comput., (2015)