On Database Queries Involving Inferred Fuzzy Predicates

被引：0
|
作者：
Pivert, Olivier [1 ]
Hadjali, Allel [1 ]
Smits, Gregory [1 ]
机构：
[1] IUT Lannion, Irisa Enssat, F-22305 Lannion, France
来源：
FOUNDATIONS OF INTELLIGENT SYSTEMS | 2011年 / 6804卷
关键词：
SQLF; TOP;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper deals with database preference queries involving fuzzy conditions which do not explicitly refer to an attribute from the database, but whose meaning is rather inferred from a set of rules. The approach we propose, which is based on some concepts from the fuzzy control domain (aggregation and defuzzification, in particular), significantly increases the expressivity of fuzzy query languages inasmuch as it allows for new types of predicates. An implementation strategy involving a coupling between a DBMS and a fuzzy reasoner is outlined.
引用
收藏
页码：592 / 601
页数：10
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