The study of knowledge management decision-making based on rough set theory

被引：0
|
作者：
Cheng, JM [1 ]
Qi, ZF [1 ]
Xu, FY [1 ]
机构：
[1] Shanghai Univ Sci & Technol, Sch Management, Shanghai 200093, Peoples R China
来源：
PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS I AND II | 2003年
关键词：
rough set; uncertainty; knowledge management; decision-making;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Since Z. Pawlak put forward the rough set theory in 1970's, the rough set theory had been applied in many fields, such as machine learning, knowledge discovery, decision-making analysis and process control. In this paper, the uncertain decision-making problems of knowledge management (KM) are presented, and some enhancements and improvements to knowledge management decision-making based on RST are suggested.
引用
收藏
页码：475 / 480
页数：6
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