Time-delay nonlinear model based on interval grey number and its application

In this paper, an optimization model is proposed to simulate and predict the current situation of smog. The takes interval grey number sequence with known possibility function as original data, constructs a time-delay nonlinear multivariable $\text{MGM}(1,m \vert \tau,\gamma)$ based on new kernel degree greyness sequences considering its nonlinearity. parameter determined by maximum value absolute correlation degree, minimum average relative error. order verify feasibility model, paper uses smog related data Nanjing city for simulation prediction. Compared other four models, has higher prediction accuracy.