Title :
WSVR-Based Supplier Selection
Author :
Ren, Wuling ; Lin, Changmao
Author_Institution :
Coll. of Comput. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
Abstract :
Supplier selection is a key stage in the formation of a successful virtual enterprise. The process can be considered as a multi-objective problem. In this paper, the weighted support vector regression (WSVR) technique is proposed toper form automated evaluation of the potential suppliers. Experimental results indicate that desirable outcome can be obtained by using the WSVR method in supplier selection. In comparison with SVR, the WSVR-based method not only improves training efficiency, but also possesses higher accuracy.
Keywords :
regression analysis; support vector machines; virtual enterprises; WSVR-based supplier selection; multi-objective problem; virtual enterprise; weighted support vector regression; Computer security; Educational institutions; Electronic commerce; Information security; Kernel; Neural networks; Supply chains; Support vector machine classification; Support vector machines; Virtual enterprises; SVM; WSVR; regression; supplier selection; weighting factor;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.66
