Abstract: This paper built the combinatorial predicting model of grey predicting model, grey markova transition matrix model, logistic predicting model by the optimal weighted method. The coupling model was also applied to predict the food production of northeaster China in the next ten years, based on the food production data from year 1949 to 2008. The studied results showed that the mean relative errors of predicted food production of grey predicting model, grey-markova transition matrix model, logistic predicting model, combinatorial predicting model were 12.74%, 3.02%, 13.29%, 2. 87%, The combinatorial predicting model could improve the precision of predicting food production. The food production of northeaster China will arrive at 0. 125 billion and 0. 138 billion ton in year of 2015 and 2018, predicted by combinatorial predicting model, which could finish the task increasing 30 million ton food and showed great potential of increasing food production.

Key words: Combinatorial predicting model, Optimal weighted method, Food production

CLC Number: 

• F224

• F326.11