By using grey area relational grade combined with NLP method to optimize GM(1,1) model

In this paper, we suggest a new optimization method by using grey area relational grade combined with nonlinear programming (abbreviated to NLP) method for GM(1,1) modelpsilas parameters, we introduce the grey area relational grade to establish a NLP optimization parameters model for a GM(1,1) model that has been established, by using mathematical software LINGO 10.0 for its optimal solution. By a lot of datapsilas analysis, we conclude the new method is effective and feasible for the GM(1,1) models that have been established by using any other methods.