Abstract:

In view of the limitation of traditional grey prediction models for forecasting grey number sequence, the interval grey number self memory coupling prediction model is established based on the grey degree of compound grey number in order to improve the prediction accuracy. This model is based on the grey degree of compound grey number by combining the self memory principle of dynamic system, by which the traditional grey prediction model’s weakness of being sensitive to initial value can been overcomed. The simulation example takes an interval grey number sequence featuring saturated development as the object, and demonstrates the effectiveness and superiority of the proposed model which can achieve satisfactory accuracy of fitting and forecasting. The research results indicate that the proposed model can enrich and perfect the interval grey number prediction model system, as well as extend its application span.