Using fuzzy analogical reasoning to refine the query answers for relational databases with imprecise information

被引：0
|
作者：
Ma, ZM [1 ]
Yan, L
Li, G
机构：
[1] NE Univ, Shenyang 110004, Peoples R China
[2] China Netcom Grp Corp LTD, Liaoning Branch, Shenyang 110044, Peoples R China
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS | 2005年 / 3613卷
关键词：
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：
In this paper, we use the notion of equivalence degree of fuzzy data, by which we can mine the rules of fuzzy functional dependencies from the fuzzy relational databases. Following the rules of fuzzy functional dependencies, we can apply the frame of analogical reasoning to refine the imprecise query answer for the relational databases with imprecise information.
引用
收藏
页码：267 / 275
页数：9
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