The theory of rough-set points out that knowledge has granularity and defines the concept of roughness of knowledge.
在粗糙集理论中，提出知识是有粒度的并定义了知识粗糙度的概念。
With his Israeli guest at his side, Mr Obama appeared to set a rough deadline for his proposed dialogue with Iran.
在以色列客人来访的情况下，奥巴马似乎给其承诺的美伊对话定下了一个粗略的最后期限。
He then set the record straight by "saying she is the most wonderful woman, who stood by me through rough times, so she deserves every penny of it".
随后更是直接的发表声明“她是最美丽的女人，陪伴我度过了最艰苦的时光，每一分钱都是她应得的。”
The size of each bubble is a rough indication of the amount of data in that data set. Some interesting items are
各气泡的大小大致表示了对应数据集中的数据量。
We set off once more, over a rough mountain track.
我们又一次出发了，走在一条崎岖不平的山间小路上。
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。
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, 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 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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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