期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 36, 期 3, 页码 6978-6985出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2008.08.074
关键词
Supplier selection; Potential support vector machine; Decision tree
类别
资金
- Teaching Team on Course of Systems Engineering established in Xi'an Jiaotong University
Supplier selection is an important and widely studied topic since it has significant impact on purchasing management in supply chain. Recently, support vector machine has received much more attention from researchers, while studies on supplier selection based on it are few. In this paper, it new support vector machine technology, potential support vector machine, is introduced and then combined with decision tree to address issues on supplier selection including feature selection, multiclass classification and so on. So, hierarchical potential support vector machine and hierarchical system of features are put forward in the paper, and experiments show the proposed methodology has much better generalization performance and less computation consumptions than standard support vector machine. (c) 2008 Elsevier Ltd. All rights reserved.
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