Fuzzy Clustering Approaches Based on AFS Fuzzy Logic II

Author

Wang, Xianchang ; Ren, Yan ; Liu, Xiaodong

Author_Institution

Dept. of Math., Dalian Maritime Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4199

Lastpage

4203

Abstract

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

Keywords

fuzzy logic; pattern classification; pattern clustering; AFS fuzzy logic II; Iris data; fuzzy clustering index; reclassification accuracy; stability accuracy; Algorithm design and analysis; Automation; Clustering algorithms; Fuzzy control; Fuzzy logic; Fuzzy systems; Intelligent control; Iris; Mathematics; Stability; AFS structure; classifier; clustering analysis; fuzzy clustering index;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713166

Filename

1713166