A family of algorithms for implementing the main concepts of the Rough Set Theory

被引：0
|
作者：
Nicoletti, MD [1 ]
Uchôa, JQ [1 ]
机构：
[1] UFSCar DC, Sao Carlos, SP, Brazil
来源：
HYBRID INFORMATION SYSTEMS | 2002年
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：
The Rough Set Theory (RST) is a mathematical formalism for representing uncertainty, which can be considered an extension of the classical set theory. It has been used in many different research areas, including those related to inductive machine learning and reduction of knowledge in knowledge based systems. This paper introduces the main concepts of the RST and presents a family of algorithms for implementing them.
引用
收藏
页码：583 / 595
页数：5
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