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A visual toolbox for modeling and testing multi-net neural systems., , , and . Comput. Appl. Eng. Educ., 21 (1): 164-184 (2013)Interval Type-2 Fuzzy Logic for Module Relevance Estimation in Sugeno Integration of Modular Neural Networks., , and . Soft Computing for Hybrid Intelligent Systems, volume 154 of Studies in Computational Intelligence, Springer, (2008)Interval Type-2 Fuzzy System for Image Edge Detection Quality Evaluation Applied to Synthetic and Real Images., , , and . Recent Advances on Hybrid Intelligent Systems, volume 451 of Studies in Computational Intelligence, Springer, (2013)Response integration in modular neural networks using Choquet Integral with Interval type 2 Sugeno measures., , , , , and . NAFIPS/WConSC, page 1-6. IEEE, (2015)General Type-2 fuzzy edge detectors applied to face recognition systems., , , , and . NAFIPS, page 1-6. IEEE, (2016)An Intelligent System for Modeling and Simulation with Modular Neural Networks., , and . IC-AI, page 406-411. CSREA Press, (2005)Estimating module relevance with Sugeno integration of modular neural networks using Interval Type-2 Fuzzy logic., , and . IJCNN, page 1329-1335. IEEE, (2008)Application of interval type-2 fuzzy logic for estimating module relevance in Sugeno integration of modular neural networks., , and . FUZZ-IEEE, page 2120-2125. IEEE, (2009)Interval type-2 fuzzy logic for edges detection in digital images., , and . Int. J. Intell. Syst., 24 (11): 1115-1133 (2009)A hybrid approach for image recognition combining type-2 fuzzy logic, modular neural networks and the Sugeno integral., , and . Inf. Sci., 179 (13): 2078-2101 (2009)