Title :
A CBR model for knowledge sharing in supply chain based on generalized rough set
Author :
Man, Jiang-Hong ; Da, Qing-Li
Author_Institution :
Sch. of Econ. Manage., Southeast Univ., Nanjing, China
Abstract :
Simple information sharing is inadequate for the supply chain management today. In this article we put forward a R5 model for knowledge sharing instead of information sharing in supply chain, which combine the CBR´s characteristic that can make best use of information on hand with the RS´s strong function in data mining, thereby set up a sharable knowledge base among the supply chain to elevate the finally product (including service)´s competence.
Keywords :
case-based reasoning; data mining; rough set theory; supply chain management; case-based reasoning; data mining; generalized rough set; knowledge sharing; supply chain management; Data mining; Databases; Fuzzy neural networks; Fuzzy sets; Large-scale systems; Learning systems; Neural networks; Supply chain management; Supply chains; Uncertainty;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259739