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This paper proposes the hybrid neuro-fuzzy classification model to perform the supervised classification of the data. In the proposed classification model, artificial neural network is used to learn the membership function for fuzzy classes of an input data set. This learned membership function gives the belongingness of each feature value to all the classes. Then the feature selection based on the...
This paper proposes the neuro-fuzzy classification model to perform the supervised classification of the data. In the proposed classification model, fuzzy membership matrix is formed by using Gaussian membership function. Membership matrix contains the membership of each feature value to the given classes. This membership matrix is given as an input to the artificial neural network and membership...
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