Research on IT outsourcing vendor selection method for SMB based on Support Vector Machine

被引:0
|
作者
Xie Xiang [1 ]
Guan Zhongliang [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
关键词
Small and Medium Business (SMB); IT outsourcing; vendors selection; Support Vector Machine (SVM); Optimal Separating Hyperplane (OSH);
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
IT outsourcing has been one of the main strategies for the Small and Medium Business informationization. It is very important to implement vendor selection in making IT outsourcing decision. Many measures, such as Analytic Hierarchy Process (AHP), Artificial Neural Network (ANN) and so on, have been applied in vendor selection. However, Support Vector Machine (SVM), which was proposed in 1998, is rather fit for vendor selection than AHP and ANN. In vendor selection method based on SVM, firstly SVM can be trained through vendor samples for training, and then Optimal Separating Hyperplane (OSH) is founded out; secondly, vendor samples for testing can be classified by OSH; finally, the result of vendor selection method based on SVM is verified.
引用
收藏
页码:918 / 923
页数:6
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