Application of SVM Based on Rough Set in 3PLs Provider Selection

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 wit...

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Hauptverfasser: Xiue Yuan, Mengwei Shi, Fanhua Meng
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung: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.
DOI:10.1109/CSSE.2008.1011