A CBR model for knowledge sharing in supply chain based on generalized rough set

被引：0
|
作者：
Man, MH [1 ]
Da, QL [1 ]
机构：
[1] SE Univ, Sch Econ Management, Nanjing 210096, Peoples R China
来源：
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年
关键词：
case-based reasoning (CBR); variable precision rough set (VPRS); generalized similarity relation; supply chain; knowledge sharing;
D O I：
10.1109/ICMLC.2003.1259739
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Simply information sharing is inadequate for the supply chain management today. In this article we put forward a R-5 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) Is competence.
引用
收藏
页码：1538 / 1542
页数：5
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