DocumentCode
2086584
Title
A method for automatic generation of a fuzzy model
Author
Yen, John ; Wang, Haojin ; Liao, James
Author_Institution
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
fYear
1993
fDate
1-3 Dec 1993
Firstpage
88
Lastpage
92
Abstract
The goal of this research is to develop a method to automate the process of fuzzy model construction. The method we developed extends the existing methods and is based on a combination of genetic algorithms and statistic techniques. The preliminary testing shows that it has the advantages of implementation simplicity, a short training cycle and simple resulting fuzzy model
Keywords
digital simulation; fuzzy set theory; genetic algorithms; identification; learning systems; modelling; statistical analysis; automatic fuzzy model generation; fuzzy model identification; fuzzy set theory; genetic algorithms; statistic techniques; training cycle; Art; Buildings; Fuzzy logic; Fuzzy sets; Fuzzy systems; Linearity; Mathematical model; Rail to rail inputs; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Fuzzy Control and Intelligent Systems, 1993., IFIS '93., Third International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-1485-9
Type
conf
DOI
10.1109/IFIS.1993.324208
Filename
324208
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