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。
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。
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。
Proposed an algorithm of attribute reduction based on attribute importance of rough set.
提出一种基于粗糙集属性重要性的属性约简算法。
In this paper, we discuss rough set approximation under granulation, and establish positive approximation under dynamic granulation.
本文讨论了粒度意义下的粗糙集近似，并定义了动态粒度下的正向近似。
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。
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。
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。
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。
A rough set model to mine default rules was presented in order to reason and solve the decision question with incomplete information.
提出了一种基于粗集的缺省规则挖掘模型，以利于在信息不完备情况下进行推理和决策。
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。
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 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。
By an example, it is verified that the extension of rough set based on modified tolerance relation is more convenient and effective than the previous extensions in practice.
通过实例，说明了基于修正容差关系的扩充粗糙集模型对处理不完备信息系统更加简便有效。
A rough set based data mining system named RSDMS is put forward and realized after the analysis of algorithms in rough set.
在分析了粗集的各种算法之后提出并实现了一个基于粗集的数据挖掘系统RSDMS。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
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。
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。
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。
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。
Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.
针对协同过滤中的数据稀疏问题，提出了一种基于粗集的协同过滤算法。
The thesis studies the generalized rough set models and proposes a multi-level rough set approximation model CBM-RS based on a covering of the universe.
作者研究了粗糙集扩展理论，提出了一种多层粗糙集模型CBM-RS。 该模型是一种基于覆盖的扩展的多层粗糙集模型。
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。
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。
The system mainly consist of four modules: the factor collect reduction based on rough set, multiple linear regression, BP net training and BP net test.
本文还设计了一个标准收入测算系统，该系统主要包括利用粗集理论对因素集进行约简、多元回归分析、BP网络训练和BP网络测试四个测算模块。
On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。
On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。
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