DocumentCode
3175463
Title
Canonical correlation discriminant analysis in the selection of suppliers
Author
Duan, Ganglong ; Wang, Jianren ; Liu, N.A.
Author_Institution
Econ. & Manage. Sch., Xi´´an Univ. of Technol., Xi´´an, China
fYear
2010
fDate
29-30 Oct. 2010
Firstpage
441
Lastpage
444
Abstract
To overcome the existed problem of choosing the suppliers such as low speed, complication, and inaccuracy etc., a method of CCDA is applied to the suppliers´ selection and build the model for the selection of the suppliers by the algorithm. Empirical analysis proved the practicality of the algorithm and the efficiency of the model.
Keywords
supply chain management; canonical correlation discriminant analysis; empirical analysis; suppliers selection; Biological system modeling; Kernel; Standards; Canonical Correlation Discriminant Analysis (CCDA); Data Mining; Supplier Selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-6935-2
Type
conf
DOI
10.1109/ICAIE.2010.5641461
Filename
5641461
Link To Document