Title :
Application of SVM Based on Rough Set in 3PLs Provider Selection
Author :
Yuan, Xiue ; Shi, Mengwei ; Meng, Fanhua
Author_Institution :
Bus. & Manage. Dept., North China Electr. Power Univ., Baoding
Abstract :
In this paper, according to the characteristics of the third-party logistics (3PLs) provider selection, we put forward a new method for third-party logistics (3PL) provider selection. Based on the comprehensive evaluation index system of 3PL provider selection environment, 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., when treating the reduced data as the input space of SVM, we find that both the convergence speed and the classify accuracy are enhanced in comparison with the traditional Support vector machine.
Keywords :
rough set theory; service industries; support vector machines; rough set; support vector machine; third-party logistics provider selection; Application software; Computer science; Conference management; Decision making; Kernel; Large-scale systems; Logistics; Software engineering; Support vector machine classification; Support vector machines; 3PLs; Rough Sets; SVM;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1011