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Towards Interpretable General Type-2 Fuzzy Classifiers.

, , and . ISDA, page 584-589. IEEE Computer Society, (2009)

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An object detection and recognition system for weld bead extraction from digital radiographs., , , and . Comput. Vis. Image Underst., 102 (3): 238-249 (2006)General type-2 fuzzy classifiers to land cover classification., , and . SAC, page 1743-1747. ACM, (2008)Detecting Central Region in Weld Beads of DWDI Radiographic Images Using PSO., , , and . Int. J. Nat. Comput. Res., 5 (1): 42-56 (2015)Clustering approach algorithm for image interpolation., and . SAC, page 56-57. ACM, (2012)Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components., , , , and . IDEAL, volume 3578 of Lecture Notes in Computer Science, page 125-132. Springer, (2005)Object Detection for Computer Vision Using a Robust Genetic Algorithm., , , and . EvoWorkshops, volume 3449 of Lecture Notes in Computer Science, page 284-293. Springer, (2005)Towards Interpretable General Type-2 Fuzzy Classifiers., , and . ISDA, page 584-589. IEEE Computer Society, (2009)Particle Swarm Optimization for Object Recognition in Computer Vision., , and . IEA/AIE, volume 5027 of Lecture Notes in Computer Science, page 11-21. Springer, (2008)General Type-2 Fuzzy Inference Systems: Analysis, Design and Computational Aspects., , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Genetic algorithms to automatic weld bead detection in double wall double image digital radiographs., , , , , , , and . IEEE Congress on Evolutionary Computation, page 1-7. IEEE, (2012)