DocumentCode :
1614431
Title :
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
Link To Document :
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