DocumentCode :
2690908
Title :
Research on Supply Chain Performance Evaluation Based on Rough Set and SVM
Author :
Yuan, Xiu-e ; Shi, Meng-wei ; Song, Chun-mei
Author_Institution :
Bus. & Manage. Dept., North China Electr. Power Univ., Baoding, China
fYear :
2009
fDate :
16-17 May 2009
Firstpage :
276
Lastpage :
280
Abstract :
For implementing supply chain management effectively, a manufacturing supply chain performance evaluation method was very important. Based on the comprehensive evaluation index system of supply chain performance evaluation, a new evaluation model with support vector machine (SVM) and rough set is founded. Rough set is introduced to reduce numbers of evaluation indicators, thus reducing the dimensions of the input space of SVM. Finally, a example is provided to validate the proposed method. The findings indicate that the method proposed in this paper is a useful tool for solving the supply chain performance evaluation.
Keywords :
rough set theory; supply chain management; support vector machines; SVM; comprehensive evaluation index system; manufacturing supply chain performance evaluation; rough set theory; support vector machines; Decision making; Electronic commerce; Energy management; Large-scale systems; Power engineering and energy; Power system management; Supply chain management; Supply chains; Support vector machine classification; Support vector machines; Rough set; SVM; Supply Chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-0-7695-3686-6
Type :
conf
DOI :
10.1109/IEEC.2009.182
Filename :
5175120
Link To Document :
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