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A new genetic algorithm for nonlinear multiregressions based on generalized Choquet integrals

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2 Author(s)
Zhenyuan Wang ; Dept. of Math., Nebraska Univ., Omaha, NE, USA ; Hai-Feng Guo

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.

Published in:

Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on  (Volume:2 )

Date of Conference:

25-28 May 2003