Title :
A new genetic algorithm for nonlinear multiregressions based on generalized Choquet integrals
Author :
Wang, Zhenyuan ; Guo, Hai-Feng
Author_Institution :
Dept. of Math., Nebraska Univ., Omaha, NE, USA
Abstract :
This paper gives a new genetic algorithm for nonlinear multiregression based on generalized Choquet integrals with respect to signed fuzzy measures. Unlike the previous work where the values of the signed fuzzy measure are determined by random search in a genetic algorithm with other regression coefficients together; in this new algorithm, they are determined algebraically and, therefore, its complexity is much lower than before.
Keywords :
fuzzy set theory; genetic algorithms; integral equations; regression analysis; generalized choquet integrals; genetic algorithm; nonlinear multiregressions; regression coefficients; signed fuzzy measures; Biological cells; Computer science; Data mining; Fuzzy sets; Fuzzy systems; Genetic algorithms; Mathematics; Power measurement; Predictive models;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1206535
