Chu, JingJingChuWang, ZhenyuanZhenyuanWangShi, YongYongShiProf. LEUNG Kwong Sak2023-03-162023-03-162014Annals of Data Science, 2014, vol. 1, pp. 109–1252198-58042198-5812http://hdl.handle.net/20.500.11861/7495A new nonlinear multiregression model based on a pair of extreme nonlinear integrals, lower and upper integrals, is established in this paper. A complete data set of predictive attributes and the relevant objective attribute is required for estimating the regression coefficients. Due to the nonadditivity of the model, a genetic algorithm combined with the pseudo gradient search is adopted to search the optimized solution in the regression problem. Applying such a nonlinear multiregression model, an interval prediction for the value of the objective attribute can be made once a new observation of predictive attributes is available.enSigned Efficiency MeasuresNonlinear IntegralsMultiregressionSoft ComputingLinear ProgrammingData MiningPeer Reviewed Journal Article10.1007/s40745-014-0008-6