Data modeling dealing with uncertainty in fuzzy logic

被引：0

作者：

Urrutia, Angelica ^{[1
]}

Galindo, Jose ^{[2
]}

Jimenez, Leoncio ^{[1
]}

Piattini, Mario ^{[3
]}

机构：

[1] Univ Catolica Maule, Dpto Computac & Informat, Talca, Chile

[2] Univ Malaga, Dpto Lenguajes Ciencias Comp, E-29071 Malaga, Spain

[3] Univ Castilla La Mancha, Escuela Super Informat, E-13071 Ciudad Real, Spain

来源：

PAST AND FUTURE OF INFORMATION SYSTEMS: 1976-2006 AND BEYOND | 2006年 / 214卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper shows models of data description that incorporate uncertainty like models of data extension EER, IFO among others. These database modeling tools are compared with the pattern FuzzyEER proposed by us, which is an extension of the EER model in order to manage uncertainty with fuzzy logic in fuzzy databases. Finally, a table shows the components of EER tool with the representation of all the revised models.

引用

页码：201 / +

页数：4

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