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。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
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。
In order to extract simple and effective diagnostic rales from inconsistent diagnostic information, an extraction method of decision rules for fault diagnosis based on rough set theory is proposed.
为了在故障诊断信息不一致的情况下提取简单有效的诊断规则，提出了一种基于粗糙集理论的决策规则提取方法。
This paper discusses a new intelligent control method called rough control, and presents the basic concepts of rough set theory.
本文讨论了一种新型的智能控制方法—粗糙控制，介绍了粗糙集合理论的基本概念。
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。
Reduction and core are two important concepts in rough set theory, while computing reductions and core according to the definitions directly is a typical NP problem.
约简与核是粗糙集理论的两个重要概念，而直接由定义来计算约简与核是一个典型的NP难题。
So it enlarges the application area of rough set theory and provides a new method for modeling in welding area, and has a large potential of wide application.
该方法拓展了粗糙集理论的应用领域，并为焊接建模提供了一种新方法，具有较大的应用潜力。
Rough set theory is used to mine the knowledge and get the essence characteristics of the continuous data.
离散类别确定后再应用粗糙集理论对其进行知识挖掘，可得到连续数据的本质特性。
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 briefly introduces the principles and methods of the data mining and the rough set theory, and gives an example on the diagnosis and evaluation of the lung tumor.
本文简要介绍了数据挖掘技术的基本原理和主要方法，以及粗糙集理论的基本原理，并给出了一个利用数据挖掘技术对肺部肿瘤进行诊断评价的应用实例。
Rough set theory is a novel mathematical tool dealing vagueness and uncertainty.
粗糙集理论是处理模糊和不确定性问题的新的数学工具。
Rough set theory has been aiming at data analysis problems involving uncertain or imprecise information.
粗糙集理论一直致力于研究不确定或不精确信息的数据分析问题。
An example resulting from running is given, which shows the practical significance to the applications of rough set theory.
最后给出实际例子的程序运行结果，对推动粗糙集理论在具体实践中应用和普及，具有实际意义。
The median filtering method based upon Rough set theory was applied to the sonar image processing, and the demonstration was given.
将基于粗集理论的中值滤波应用于声呐图像处理中，给出了实验结果。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
粗糙集理论是继概率论、模糊集、证据理论之后的又一个处理不确定性问题的新型数学工具。
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。
Rough set-based method of combinatory logic optimization was presented by using knowledge expression of logic function with rough set theory, and its corresponding algorithm was given, also.
运用粗集理论对逻辑函数进行知识表达的方法，提出了基于粗糙集的组合逻辑优化方法，并给出了相应的算法。
This paper introduces a method for mining risk rules using Rough Set theory.
该文介绍利用粗糙集理论进行风险规则挖掘的一种方法。
The Out-lier algorithm based on density and attribution classical discrepant data protocol algorithm based on rough set theory were presented.
提出了一种基于密度的孤立点因子算法和一种基于粗集理论的属性类别差异数据归约算法。
This tactics carry out data compaction on data samples and extract initial diagnostic rule by using rough set theory.
该策略利用粗糙集理论对数据样本进行数据浓缩，提取初步的诊断规则。
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。
The output forecasting influenced by uncertain history-data of film evaporators is studied by Rough Set theory.
应用粗糙集理论研究了薄膜蒸发器历史数据不确定影响下的产量预测问题。
Rough set theory, proposed in early 1982, is a new mathematical tool in dealing with imprecision and uncertainty.
粗糙集理论是1982年提出的一种处理模糊和不确定知识的数学工具。
Tolerance relation is an effective tool in patulous rough set theory to deal with incomplete information systems.
在扩充粗糙集理论中，容差关系是一种处理不完备信息系统的工具。
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