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
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;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641461