This paper presents a rough set theory based on the text classification.
文章提出了一种基于粗糙集理论的文本分类方法。
Attribute reduction is a research focus in rough set theory.
属性约简是粗糙集理论中的一个研究重点。
Rough set theory is a new mathematical tool to deal with fuzzy and uncertain information.
粗糙集理论是一种新的处理模糊性和不确定性知识的数学工具。
Rough set theory is a new mathematical approach to deal with vagueness and uncertainty.
粗糙集理论是一种处理模糊和不确定性问题的新的数学方法。
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。
Rough set theory is the tool to solve those problems.
粗集理论由于其自身的特点恰好能够解决这三个问题。
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。
This paper first apply the rough set theory to forestry information manage.
本文首次将粗糙集理论应用于林业信息管理之中。
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。
Decision rules can be mined from given data using rough set theory.
利用粗糙集理论可以从已知数据中挖掘决策规则。
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。
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。
Rough set theory is a new mathematic approach to uncertain and vague data analysis.
粗集理论是一种新的处理含糊和不确定性问题的数学工具。
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。
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。
Rough Set theory is a new mathematic tool to deal with fuzzy and uncertain knowledge.
粗糙集理论是一种新的处理模糊和不确定性知识的数学工具。
Rough Set is a new mathematics theory that can deal with incertitude and incompletion data.
粗糙集理论是一种新兴的处理不精确、不确定与不完全数据的数学理论。
Rough Set theory is emerging as a powerful tool for reasoning about data.
粗糙集理论是一种新的处理模糊和不确定知识的软计算工具。
Rough set theory is a new math tool in dealing with fuzzy and uncertain knowledge.
粗糙集理论是一种处理模糊和不确定知识的新型数学工具。
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。
Rough set theory is a new mathematical tool to deal with vagueness and uncertainty.
粗糙集理论是一种新的数学工具来处理模糊性和不确定性。
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。
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。
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。
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。
A new method for decision rule synthesis based on rough set theory is proposed.
提出了一种基于粗糙集的决策规则综合的新方法——归类优选方法。
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。
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。
Absrtact: Rough set theory is a new mathematical tool to research imprecise and incomplete data.
摘要：粗糙集是用来处理不确定、不完备数据的重要工具之一。
Rough Set Theory is an effective mathematic tool to mine principles containing in history data.
粗糙集理论是一种从历史数据中发现规则知识的数学工具。
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