Xu KebinWang ZhenyuanProf. LEUNG Kwong Sak2023-03-302023-03-301998Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998, Vol. 3, pp. 2326 - 233108843627http://hdl.handle.net/20.500.11861/7676A new nonlinear multiregression model, Y = c+q·(w)∂f dμ+N(0,σ2), based on the Wang integral is developed to describe the multi-input single-output system. The model includes a non-additive set function μ, to describe the inherent interaction among the input attributes x1, x2, ..., xn. When the proper input-output data are available, by using the adaptive genetic algorithm, a precise estimated values of parameter c, q, ω, and μ of the regression model can be obtained. The output, Y, could be calculated by nonlinear multiregression using the values of known input attributes, x1, x2, ..., xn.enEvolutionary AlgorithmsNonlinear IntegrationRandom NumberOptimization ProcedureMinimum ErrorSubadditivityLebesgue IntegrableMulti-Input SystemsConference Paper10.1109/ICSMC.1998.725003