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 1, 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 (ftp://ftp.ics.uci.edu/pub/machine-learnin2-databases/Iris/). 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.