Fuzzy GM(1,1) Model Based per Capital Income Predicted of Farmers in the World Natural and Cultural Heritage Area: Take Leshan City for an Example

The per-capita income of farmer is an important technology index which is the measured level of agriculture development and the status of farmers’ life. This paper aims at developing a new fuzzy grey predicting model to predict the per-capita income of farmer. The fuzzy possibility is used to check the error of the proposed model, and the test results show that the accuracy of the model is quite high, providing a scientific basis for policy makers.