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。
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。
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。
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-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。
In order to raise the efficiency, automatization and intelligentization of condition monitoring and fault diagnosis for complex equipment systems, rough set theory is used to the field.
为了提高监测诊断的效率和自动化、智能化水平，将粗糙集理论引入到复杂装备系统状态监测与故障诊断领域。
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。
Based on rough set theory, a rule inference approach of integrating the importance of attributes with the emergence frequency of attribute value is proposed.
提出一种基于粗集理论的，把属性的重要性和属性值的出现频率综合起来进行规则推理的方法。
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。
To avoid the subjectiveness of experts in extracting diagnosis rules, rough set theory is introduced into extracting diagnosis rules.
为了克服专家在诊断规则提取时的主观性，把粗糙集理论引入诊断规则提取之中。
For improving, applying rough set theory, analyses the test paper, and discovers both redundance and significant level information.
为此，运用粗糙集理论对试卷进行分析，揭示隐藏其中的冗余信息和重要度信息。
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。
In this paper, application about discernibility matrix arithmetic and HORAFA arithmetic based on the rough set theory is introduced.
简要介绍了粗糙集理论中区分矩阵算法和HORAFA算法在知识约简中的应用。
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。
A method of compressor fault diagnosis based on rough set theory is proposed.
论述了将粗集理论应用于压缩机故障诊断的方法。
Rough set theory is a newly developed mathematical tool for dealing with uncertain knowledge.
粗糙集理论是一种新型的处理不确定性知识的数学工具。
This article applies the generalized covering rough set theory to information retrieval model.
将广义覆盖粗糙集理论及其计算运用到信息检索模型。
This paper has studied an effective intelligent decision method based on rough set theory and neural network.
本文研究了基于粗集理论与神经网络相结合的有效智能决策方法。
It selects the main factors that affect the airflow stability by rough set theory.
该方法首先应用粗糙集理论来选择影响风流稳定性的重要因素。
By using rough set theory, this paper structures classification rules and processes the support vector machine feedback results with learning the train set.
利用粗糙集理论，通过对训练集的学习，构造分类规则，对支持向量机反馈后的结果再次进行处理。
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