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Design and Implementation of a Classifier Based on Multiobjective Learning Framework with Fuzzy Clustering

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Executive Summary

In this paper, Design and Implementation of a Classifier based on Multiobjective learning Framework with Fuzzy Clustering (DICMFC) is proposed. This learning algorithm is used to solve any multiclass classification problem. In this Kernalized Fuzzy C-Means (KFCM) algorithm is used for enhance the robustnesss of the classifier. It is based on the framework proposed by Cai, Chen and Zhang. In multiple objective functions are utilized to formulate the problem of clustering and classification by employing Bayesian theory.

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