DocumentCode :
3309878
Title :
Application of the Fuzzy Semantic Distance Model and Algorithms for Transporter Selection Problem
Author :
Qiang, Lin ; Wenting, Xu
Author_Institution :
Dept.of Logistic Eng., Tianjin Univ., Tianjin
Volume :
2
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
3
Lastpage :
6
Abstract :
To provide a reasonable, effective and easy-to-use solution approach for the supplier selection. Based on the established transporter selection synthetic index system, a fuzzy semantic distance mathematical model is obtained for selecting transporter. In view of the characteristic that included both fuzzy interval data and qualitative variable in the index system, the model can synthesize the quantify attribute and the qualitative attribute as well. The result of sequence in this model can reflect the comprehensive capability of selected transporter. The example shows the availability of the model.
Keywords :
fuzzy set theory; supply chain management; transportation; fuzzy semantic distance model; supplier selection; transporter selection problem; transporter selection synthetic index system; Engineering management; Fuzzy systems; Integer linear programming; Linear programming; Logistics; Mathematical model; Mathematical programming; Supply chain management; Supply chains; Transportation; fuzzy interval; supply chain management; transporter fuzzy semantic distance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
Type :
conf
DOI :
10.1109/NSWCTC.2009.382
Filename :
4908391
Link To Document :
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