Selecting methods and its application for partners of agricultural supply chain based on Support Vector Regression

To reduce the costs of the agricultural supply chain, and reduce the uncertain effect in the agricultural supply chain, it has to analyze, appraise and select the partners of agricultural supply chain according to scientific methods. After simply introducing the theory of Support Vector Regression (SVR), then construct the index system for selecting the partners of agricultural supply chain. Based on the grades that the expert´s graded, and tested by real example, the results shows that the Support Vector Regression (SVR) is one of the effect methods for selecting the partners of agricultural supply chain.