A New Oscillating DGPM(1,N|sin)Model and Its Application
A novel oscillating DGPM(1,N|sin)model is constructed to solve the problem of insufficient accuracy in predicting oscillation sequences using conventional multivariate grey models.Firstly,time-varying parameters and the nonlinear time-period term are added to the discrete grey prediction model.Then,a nonlinear programming model is established,and the genetic algorithm is used to determine the optimal parameters according to the model.Finally,the model is applied to the prediction of China's consumer price index,which verifies the effectiveness and applicability of the proposed model.The results show that the oscillating DGPM(1,N|sin)model has great prediction accuracy and provides an efficient solution for oscillating sequence prediction.
Grey forecastingDGPM(1,N|sin)modelconsumer price index
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