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General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System.

, , , , and . Nature-Inspired Design of Hybrid Intelligent Systems, volume 667 of Studies in Computational Intelligence, Springer, (2017)

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Response integration in modular neural networks using Choquet Integral with Interval type 2 Sugeno measures., , , , , and . NAFIPS/WConSC, page 1-6. IEEE, (2015)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)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)A visual toolbox for modeling and testing multi-net neural systems., , , and . Comput. Appl. Eng. Educ., 21 (1): 164-184 (2013)General Type-2 fuzzy edge detectors applied to face recognition systems., , , , and . NAFIPS, page 1-6. IEEE, (2016)An Intelligent System for Pattern Recognition and Time Series Prediction using Modular Neural Networks., , , , and . IJCNN, page 4071-4077. IEEE, (2006)Type-2 Fuzzy Logic for Improving Training Data and Response Integration in Modular Neural Networks for Image Recognition., , , and . IFSA (1), volume 4529 of Lecture Notes in Computer Science, page 604-612. Springer, (2007)Choquet Integral with Interval Type 2 Sugeno Measures as an Integration Method for Modular Neural Networks., , , , and . WCSC, volume 342 of Studies in Fuzziness and Soft Computing, page 71-86. Springer, (2014)Comparison between Choquet and Sugeno integrals as aggregation operators for pattern recognition., , , , , and . NAFIPS, page 1-6. IEEE, (2016)Fuzzy operators for quality evaluation in images edge detection., , , and . IFSA/NAFIPS, page 1182-1187. IEEE, (2013)