Fuzzy Clustering Approaches Based on AFS Fuzzy Logic II

This study is a sequel of part I of this paper [Fuzzy Clustering Approaches Based on AFS Logic I, submitted with this paper to WCICA´06]. In this paper, we will improve and study the fuzzy clustering index defined by X.D. Liu, W. Wang and T.Y. Chai (IEEE Transaction on Systems, Man, Cybernetics, 2005), and design a new classifier based on the AFS fuzzy logic clustering algorithm proposed by X.D.Liu, W.Wang and T.Y.Chai. As an example, the new classifier is applied to Iris data. The stability and reclassification accuracy of the classifiers are studied through the Iris data, the examples show that the new classifiers are simple and efficient