属性约简是粗糙集理论的核心内容。
对粗糙集的应用进行了论述。
属性约简是粗糙集理论中的一个研究重点。
Attribute reduction is a research focus in rough set theory.
属性约简是粗糙集用于数据分析的重要概念。
Attribute reduction is an important concept in rough sets data analysis.
提出了一种基于聚类和粗糙集的数据挖掘模型。
We propose a data mining model based on clustering and rough set.
文章提出了一种基于粗糙集理论的文本分类方法。
This paper presents a rough set theory based on the text classification.
提出一种基于粗糙集属性重要性的属性约简算法。
Proposed an algorithm of attribute reduction based on attribute importance of rough set.
提出了一种基于修正容差关系的扩充粗糙集模型。
In this paper, a new extension of rough set based on modified tolerance relation is presented.
连续属性的离散化是粗糙集理论的主要问题之一。
The discretization of real value attributes is one of the most main problems in rough sets theory.
属性约简是粗糙集(RS)理论的核心内容之一。
The attribute reduction is one of the cores of Rough Set (RS) theory.
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 is a novel mathematical tool dealing 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 approach to deal with vagueness and uncertainty.
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 tool to deal with fuzzy and uncertain 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 has been aiming at data analysis problems involving uncertain or imprecise information.
本文对两种非经典数学方法：粗糙集理论和云理论进行了介绍和分析。
The paper introduces and then analyzes the two non-classical mathematics methods: the rough theory and the cloud theory.
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.
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。
In this paper, we discuss rough set approximation under granulation, and establish positive approximation under dynamic granulation.
今后的工作是开发基于这种粗糙集模型的实用软件系统和理论上的深入研究。
For the future, realistic soft system based on this model of Rough Sets will be theoretically lucubrated and exploited.
以对琼海市土地适宜性评价为例，引用了粗糙集理论和云理论相结合的方法。
The paper take the land suitability appraise of Qionghai as a sample, using the method that combine the cloud theory and the rough theory.
按加权平均粗糙集的大小区分层内各特征信息的优先级，具有很强的容错能力。
According to the value of weighted mean roughness the priority of different characteristic information can be distinguished, so the proposed method possesses strong tolerant ability.
粗糙集理论是一种处理模糊和不精确知识的数学工具，它具有很强的知识获取能力。
Rough Set is a new mathematical tool to deal with fuzzy and uncertain knowledge. It has strong knowledge obtaining ability.
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。
Rough set theory is used to mine the knowledge and get the essence characteristics of the continuous data.
第三部分通过具体的企业销售数据库实例，介绍粗糙集方法在管理决策中的应用过程。
The third section introduces how the RS theory is applied in the decision making with an enterprise database.
提出用粗糙集理论简化这些因素，然后采用径向基函数网络对连铸板坯缺陷进行预报诊断。
This research USES rough sets to reduce this factors, then adopts radial basis function networks to predict and diagnose the continuous casting slab defect.
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。
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.
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, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
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 a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
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。
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。
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.
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