The equivalence relation is the basic Concept of the rough set theory.
等价关系是粗集理论中的一个重要概念。
This paper researches attributes reduction of Rough Set Theory.
本文主要研究基于粗集理论的属性约简算法。
Attribute reduction is a core subject in the domain of rough set theory.
属性约简问题是粗糙集理论中一个核心的研究课题。
Knowledge reduction is one of important issues in rough set theory.
知识约简是粗糙集理论的重要研究内容。
Reduction of attribute is another important subject in Rough Set theory.
属性约简是粗糙集理论中的一个重要课题。
The second section introduces the main idea of Rough Set theory.
第二部分介绍粗糙集理论的主要思想。
Fuzzy rough set theory is an important method for data mining of uncertain data.
模糊粗糙集理论是一种处理不确定性信息的重要的数据挖掘方法。
Data reduction is one of important research issue in rough set theory.
数据约简是粗糙集理论中一个非常重要的研究课题。
Attributes reduction was one of the key problems in rough set theory.
属性约简是粗糙集理论的核心内容之一。
Therefore, studying the method of knowledge acquisition based on rough set theory has important significance.
研究基于粗糙集理论的知识获取方法有着重要的意义。
Rough set theory is the core content of knowledge reduction.
粗糙集理论的核心内容是知识约简。
Knowledge reduction is one of the important contents in the research on rough set theory.
知识约简是粗糙集理论研究中的重要内容之一。
In the part of cooperation forecasting, Rough Set Theory is been used.
在合作风险预测方面，主要采用了粗集理论。
Uncertainty measure is one of the important aspects of rough set theory study.
不确定性度量是粗集理论研究的重要内容之一。
Uncertainty measure is one of the important aspects of rough set theory study.
不确定性度量是粗集理论研究的重要内容之一。
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