Collaborative identification of coordination questions in supply chain based on support vector machines

Aiming at guarantee the coordination of supply chain, the working flow of coordination questions identification of supply chain based on support vector machine (SVM) is analyzed. Identification model of coordination questions based on SVM is established by formalization, which mainly includes three parts: resources of coordination questions identification in supply chain, collaborative identification of coordination questions and results of collaborative identification. Degree of similarity of supply chain partners (SCP) feature sets is proposed to be a rule in the process of SVM feature selection. And identification accuracy of SCP is proposed to determined weighs of SCP. Finally the approach is simulated in distributor´s marking ability identification.