Rough Sets, an Artificia Intelligent Technique Based upon the Relational Data Model

被引：0
|
作者：
Cardenas Quintero, Beitmantt Geovanni [1 ]
机构：
[1] Univ Dist Francisco Jose de Caldas, Bogota, Colombia
来源：
REVISTA FACULTAD DE INGENIERIA, UNIVERSIDAD PEDAGOGICA Y TECNOLOGICA DE COLOMBIA | 2007年 / 16卷 / 23期
关键词：
Artificial Intelligence; Relational Data Model; Approximate Sets; Rough Sets;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
It shows the path that has to go through the information from its most primitive presentation, the processes that has to undergo in order to fulfil the information systems' objectives of which is part, and the conversion that it goes through for storage, processing, extraction and understanding. Highlighting the latter step, Rough Sets or approximate sets, is one of the most innovative artificial intelligence' techniques, to handle and purify the data entrance into the information systems, which woks by specifying the similarity and applicability of their basic aspects involved in the development of such systems, based on the Relational Model of Data. In addition were added some definitions and components of this mathematics model.
引用
收藏
页码：39 / 46
页数：8
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