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Weighted degree of grey incidence based on entropy information method

Grey incidence analysis is an important tool in grey system theory to address grey decision-making and grey clustering. Based on the departed grey incidence model, this paper presents the way of how to solve the weighted grey incidence coefficient problem. In order to overcome the shortcoming of equal weight, a new optimization method of grey incidence is proposed based on entropy theories. Then, the effectiveness and practicability of this method are verified using an example. The results indicate that the model can reflect the significance of incidence coefficients at different time periods, thereby the fluctuation of incidence coefficients can be controlled effectively, and hence, the controlling problem of the whole grey incidence sequence is solved by local point incidence coefficient.