Fuzzy rule based data analysis using methods of computational intelligence

Author

Halgamuge, Saman K. ; Genther, Harald ; Glesner, Manfred

Author_Institution

Inst. of Microelectron. Syst., Darmstadt Univ. of Technol., Germany

fYear

1995

Firstpage

76

Lastpage

81

Abstract

A number of recently proposed methods of computational intelligence, specifically fuzzy-neural networks, fuzzy classifiers generated by fuzzy clustering, and fuzzy data analysis methods based on evolutionary algorithms are outlined giving emphasis to the specific characteristic of methods which differentiate them from others

Keywords

data analysis; fuzzy control; fuzzy neural nets; fuzzy set theory; genetic algorithms; inference mechanisms; maximum likelihood estimation; pattern recognition; computational intelligence; evolutionary algorithms; fuzzy classifiers; fuzzy clustering; fuzzy rule based data analysis; fuzzy-neural networks; Competitive intelligence; Computational intelligence; Data analysis; Data mining; Evolutionary computation; Fuzzy neural networks; Fuzzy systems; Humans; Intelligent networks; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on

Conference_Location

College Park, MD

Print_ISBN

0-8186-7126-2

Type

conf

DOI

10.1109/ISUMA.1995.527672

Filename

527672