For the decision making problem that the attribute value is interval valued intuitionisitc fuzzy number and the
attribute weights are unknown, a dynamic multiple attribute decision making method with interval valued intuitionisitc fuzzy
number based on the grey incidence analisis is proposed. Firstly, the algorithms and properties of the interval valued
intuitionisitc fuzzy number are used to construct the positive and negative ideal scheme for each time period, and tthe
multi-objective programming model with the minimum deviation of the grey incidence degree between each scheme and the
positive ideal scheme for each stage is built to determine the attribute weights. Then the grey incidence each stage degree with
interval valued intuitionisitc fuzzy number between each scheme and the positive and negative ideal scheme for each stage is
calculated to eastablish the optimization model of the optimal membership degree for scheme, so that the expressions form
of the optimal membership degree for scheme is determined to solve the optimal membership degree for scheme. Finally, an
example validates the feasibility and effectiveness of the proposed model.