Variableprecision rough set model is proposed by W.
变精度粗糙集模型是由W。
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。
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 the core content of knowledge reduction.
粗糙集理论的核心内容是知识约简。
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。
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。
We propose a data mining model based on clustering and rough set.
提出了一种基于聚类和粗糙集的数据挖掘模型。
We study the synthetic information management based on rough set.
研究了基于粗糙集的综合信息处理技术。
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。
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。
Function s rough set is a new direction in the study of rough sets.
函数s粗集是粗集研究的一个新方向。
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 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。
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。
Have improved calculation model of the consistency level in Rough Set.
改进了粗糙集一致性水平的计算模型。
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。
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 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。
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 diagnosing process of rough set-neural network system is introduced.
叙述了粗糙集-神经网络系统诊断电力电子电路的过程。
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。
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。
A new method of data mining based on rough set and neural network is proposed.
提出了一种基于神经网络和粗集的数据挖掘新方法。
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。
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。
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 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。
Reduct calculation is the key issue of the research of rough set based data mining.
简约的计算是基于粗糙集理论的数据采掘研究的关键问题。
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。
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。
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