The optimization grey incidence analysis models

On the basis of the absolute degree, relative degree, synthetic degree, similitude degree and close degree of grey incidence models, we analyzed the reason for the contradiction between the quantitative and the qualitative results in some cases. Aimed at this reason, the error sources of grey incidence models are deeply analyzed and a novel method that measures the closeness of a relationship between sequence curves sectionally is proposed. The algorithms of optimization models are given, and the properties are better. The application scope of grey incidence analysis is extended, making it meaningful to theory and practical application. A numerical example is used to demonstrate the rationality and validity of the optimization models, and the several kinds of optimization degrees of grey incidence maintain consistency.