属性约简是粗糙集理论的核心内容。
将决策表进行属性约简，值约简。
主要用于求解决策表中的相对属性约简。
属性约简是知识获取中的关键问题之一。
Attribute reduction is one of the key problems for the knowledge acquisition.
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.
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.
对矩阵进行化简得到属性约简并生成规则。
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.
属性约简是知识获取中最重要的部分之一。
Attribute reduction is one of the most important parts in knowledge acquisition.
将属性约简算法与其他算法结合在一起使用。
Connecting the improved attributes reduction algorithm with other algorithms.
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.
属性约简是对大数据集进行数据处理的需要。
It is the need of data processing in attribute reduction about large datasets.
本文主要研究基于粗集理论的属性约简算法。
This paper researches attributes reduction of Rough Set Theory.
后面又提到了基于信息熵的相对属性约简算法。
And then a relative attribute reduction algorithm is mentioned based on information entropy.
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.
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.
本文提出了一种新的算法用于粗集中的属性约简。
This paper introduces a new algorithm for reduction of attribute.
首先，研究了在不完备信息系统下的属性约简算法。
Firstly, the attributes reduction algorithm is studied under the incomplete information systems.
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.
讨论几种属性约简定义的代数性质和信息熵改变规律。
This paper discusses algebra properties and changing law of entropy for some attribute reduction definitions.
并在此基础上提出了基于差分演化算法的属性约简算法。
And on this basis, an attribute reduction algorithm based on the improved differential evolutionary algorithm was put forward.
这为不一致信息系统的属性约简提供了理论依据与算法。
These results provide theoretical basis and applied foundation for attribute reduction in inconsistent information system.
为此，设计了一种面向个性化知识发现的属性约简算法。
So a reduction algorithm of attribute for personalized knowledge discovery was designed.
实验结果表明该算法是有效的，能快速地进行属性约简。
The experimental results show that the algorithm is effective and fast.
出于应用目的，许多学者提出了各种不同的属性约简概念。
For the sake of different applications, various definitions of attribute reduction have been proposed by different researchers.
最后证明了属性约简在布尔矩阵和代数两种不同表示下是等价的。
Finally, the equivalence properties between Boolean matrix representation and algebra representation of attribute reduction are proved.
在计算属性约简集的基础上，建立了雷达干扰空间的偏序关系矩阵。
Based on the reduction of attribute sets, the partial order relation matrix of radar jamming space is obtained.
知识发现的过程包括时间序列数据预处理、属性约简和规则抽取三部分。
The process of knowledge discovery in time series includes preprocessing of time series data, attributes reduction and rules extraction.
提出约简质量的定义，从属性约简率和近似质量两方面来衡量约简效果。
The attribute reduction quality, which includes reduction ratio and approximate quality, is defined to scale the reduction effectiveness.
提出约简质量的定义，从属性约简率和近似质量两方面来衡量约简效果。
The attribute reduction quality, which includes reduction ratio and approximate quality, is defined to scale the reduction effectiveness.
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