Abstract:

For some cases of the less evaluation study on agricultural industry cluster, this article uses fuzzy mathematics membership functions to deal with the indicators data. The first level vector of fuzzy comprehensive evaluation is used as the inputs for the Neural Network evaluation model. Then the Neural Network evaluation mode is used to evaluate the level of agricultural industry cluster. Non-linear processing capacity of neural network makes the evaluation of agricultural industry cluster more scientific, and an empirical case study of the evaluation of agricultural industry cluster in lianyungang is given.