属性约简是粗糙集理论的核心内容。
粗糙集理论的核心内容是知识约简。
Rough set theory is the core content of knowledge reduction.
改进了粗糙集一致性水平的计算模型。
Have improved calculation model of the consistency level in Rough Set.
第二部分介绍粗糙集理论的主要思想。
The second section introduces the main idea of Rough Set theory.
研究了基于粗糙集的综合信息处理技术。
We study the synthetic information management based on rough set.
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.
属性约简是粗糙集理论的核心内容之一。
Attributes reduction was one of the key problems in rough set theory.
变精度粗糙集模型是由W。
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.
属性约简是粗糙集理论中的一个重要课题。
Reduction of attribute is another important subject in Rough Set theory.
粗糙集理论扩展模型。
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.
其次，粗糙集关系图表示法的知识简化研究。
Next, the Research of Rough Set Relationship Graphics Representation Knowledge Simplified.
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.
知识约简是粗糙集理论研究中的重要内容之一。
Knowledge reduction is one of the important contents in the research on rough set theory.
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.
粗糙集一致性水平的标准计算模型，计算量大。
Standard calculating model of the consistency level is very complex.
本文首次将粗糙集理论应用于林业信息管理之中。
This paper first apply the rough set theory to forestry information manage.
利用粗糙集理论可以从已知数据中挖掘决策规则。
Decision rules can be mined from given data using rough set theory.
最后，粗糙集关系图表示法的知识表达系统研究。
Last, the Research of Rough Set Relationship Graphics Representation Knowledge Base.
属性约简问题是粗糙集理论中一个核心的研究课题。
Attribute reduction is a core subject in the domain of 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。
Data reduction is one of important research issue in rough set theory.
粗糙集方法是一种处理不确定或模糊知识的重要工具。
The rough set approach is an important tool to deal with uncertain or vague knowledge.
研究基于粗糙集理论的知识获取方法有着重要的意义。
Therefore, studying the method of knowledge acquisition based on rough set theory has important significance.
叙述了粗糙集-神经网络系统诊断电力电子电路的过程。
The diagnosing process of rough set-neural network system is introduced.
简约的计算是基于粗糙集理论的数据采掘研究的关键问题。
Reduct calculation is the key issue of the research of rough set based data mining.
粗糙集理论是一种处理模糊和不确定知识的新型数学工具。
Rough set theory is a new math tool in dealing with fuzzy and uncertain knowledge.
粗糙集理论是一种新的数学工具来处理模糊性和不确定性。
Rough set theory is a new mathematical tool to deal with vagueness and uncertainty.
粗糙集理论是一种从历史数据中发现规则知识的数学工具。
Rough Set Theory is an effective mathematic tool to mine principles containing in history data.
粗糙集理论是一种从历史数据中发现规则知识的数学工具。
Rough Set Theory is an effective mathematic tool to mine principles containing in history data.
应用推荐