Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Soft computing for control of non-linear dynamical systems
Soft computing for control of non-linear dynamical systems
An Introduction to Genetic Algorithms for Scientists and Engineers
An Introduction to Genetic Algorithms for Scientists and Engineers
An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
On Modeling Data Mining with Granular Computing
COMPSAC '01 Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
Practical Genetic Algorithms with CD-ROM
Practical Genetic Algorithms with CD-ROM
Modular Neural Network Task Decomposition Via Entropic Clustering
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing)
Perspectives of Granular Computing in Software Engineering
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
A Ten-year Review of Granular Computing
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
Information Sciences: an International Journal
Interval type-2 fuzzy logic and modular neural networks for face recognition applications
Applied Soft Computing
Type-2 Fuzzy Logic: Theory and Applications
Type-2 Fuzzy Logic: Theory and Applications
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Building fuzzy inference systems with a new interval type-2 fuzzy logic toolbox
Transactions on computational science I
An improved method for edge detection based on interval type-2 fuzzy logic
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In this paper a new model of a Modular Neural Network (MNN) with fuzzy integration based on granular computing is proposed. The topology and parameters of the MNN are optimized with a Hierarchical Genetic Algorithm (HGA). The proposed method can divide the data automatically into sub modules or granules, chooses the percentage of images and selects which images will be used for training. The responses of each sub module are combined using a fuzzy integrator, the number of the fuzzy integrators will depend of the number of sub modules or granules that the MNN has at a particular moment. The method was applied to the case of human recognition to illustrate its applicability with good results.