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

IEEE International Conference on Fuzzy Systems

Volumn 2, Issue , 2003, Pages 819-821

  Wang, Zhenyuan ^a   Guo, Hai Feng ^a  

^a UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGEBRA; GENETIC ALGORITHMS; INTEGRAL EQUATIONS; NONLINEAR CONTROL SYSTEMS; REGRESSION ANALYSIS;

CHOQUET INTEGRALS;

FUZZY CONTROL;

EID: 0037523350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. M. Grabisch, A new algorithm for identifying fuzzy measure and its application to pattern recognition, Proc. FUZZ-IEEEIIFES'95, pp. 145-150, Yokohama, 11995.
2. J. Han and M. Kambr, Data Mining - Concepts and Techniques, Morgan Kaufmann Publishers, 2000.
3. Z. Wang, "A new model of nonlinear multiregressions by projection pursuit based on generalized Choquet integrals," Proc. FUZZ-IEEE2002, pp. 1240-1244, Hawaii, 2002.
4. Z. Wang, K-S Leung, and J. Wang, "Determining nonnegative monotone set functions based on Sugeno's integral; an application of genetic algorithms," Fuzzy Sets and Systems, vol. 112, pp. 155-164, 2000.
5. K. Xu, Y. Ke, and Z. Wang, A fast algorithm for Choquet-integral-based nonlinear multiregression used in data mining, The Journal of Fuzzy Mathematics, Vol. 8, No, 1, pp. 195-201, 2000.