Inference Rules for Fuzzy Functional Dependencies in Possibilistic Databases

被引：1

作者：

Myszkorowski, Krzysztof ^{[1
]}

机构：

[1] Lodz Univ Technol, Inst Informat Technol, Lodz, Poland

来源：

BEYOND DATABASES, ARCHITECTURES AND STRUCTURES, BDAS 2016 | 2016年 / 613卷

关键词：

Possibilistic databases; Possibility distribution; Possibility measure; Necessity measure; Fuzzy implicator; Fuzzy functional dependencies; Inference rules;

D O I：

10.1007/978-3-319-34099-9_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We consider fuzzy functional dependencies (FFDs) which can exist between attributes in possibilistic databases. The degree of FFD is evaluated by two numbers from the unit interval which correspond to possibility and necessity measures. The notion of FFD is defined with the use of the extended Godel implication operator. For such dependencies we present inference rules as a fuzzy extension of Armstrong's axioms. We show that they form a sound and complete system.

引用

页码：181 / 191

页数：11

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