Title :
Multivariate non-linear fuzzy regression
Author :
Buckley, James J. ; Feuring, Thomas ; Hayashi, Yoichi
Author_Institution :
Dept. of Math., Alabama Univ., Birmingham, AL, USA
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;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.793036
