摘要
In past years ,people were hardly aware of Mapping Knowledge between Environments when dealing with problems,did not consider the ability of their constraint and introduction to handle cognition problem under incomplete information environment. This paper firstly points out the importance of explicit representation on background knowledge,then gives a method that deals with imprecise infor mation aggregation using generalized rough set theory. This process involves representation and acquiring about background knowledge.
In past years,people were hardly aware of Mapping Knowledge between Environments when dealing with problems,did not consider the ability of their constraint and introduction to handle cognition problem under incomplete information environment. This paper firstly points out the importance of explicit representation on background knowledge, then gives a method that deals with imprecise information aggregation using generalized rough set theory. This process involves representation and acquiring about background knowledge.
出处
《计算机科学》
CSCD
北大核心
2001年第12期37-39,58,共4页
Computer Science
基金
国家教委博士学科点专项科学基金(98069923)
陕西省自然科学基金(98X15)
关键词
背景知识处理
不完全信息
类比推理
人工智能
Generalized rough sets, Mapping knowledge between environments, Aggregation, Background knowledge
