DocumentCode
3160621
Title
Multivariate non-linear fuzzy regression
Author
Buckley, James J. ; Feuring, Thomas ; Hayashi, Yoichi
Author_Institution
Dept. of Math., Alabama Univ., Birmingham, AL, USA
Volume
2
fYear
1999
fDate
22-25 Aug. 1999
Firstpage
714
Abstract
We first argue that a very important class of fuzzy functions in multivariate non-linear fuzzy regression is the multivariate fuzzy polynomials. Given some data, generated by a multivariate fuzzy function, our evolutionary algorithm searches our library of multivariate fuzzy polynomials for the one that best fits this data. Tests of our multivariate non-linear fuzzy regression package are given when the multivariate fuzzy function is a multivariate fuzzy polynomial.
Keywords
evolutionary computation; fuzzy set theory; mathematics computing; polynomials; statistical analysis; evolutionary algorithm; fuzzy functions; multivariate fuzzy polynomials; multivariate nonlinear fuzzy regression; Computer science; Evolutionary computation; Libraries; Mathematics; Packaging; Polynomials; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location
Seoul, South Korea
ISSN
1098-7584
Print_ISBN
0-7803-5406-0
Type
conf
DOI
10.1109/FUZZY.1999.793036
Filename
793036
Link To Document