属性约简是粗糙集理论的核心内容。
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.
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.
摘要：属性约简是粗糙集研究的重要内容之一。
Absrtact: the attribute reduction is one of the major contents of rough set research.
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.
属性约简是粗糙集理论的一个核心问题，近年来已经成为粗集研究的热点。
Attribute reduction is one of the core issues of the rough set theory and it has become a hot topic of the rough set theory research.
属性约简是粗糙集理论研究的一个核心问题，而核属性的确定往往是决策表中属性约简的基础。
Attribute reduction is one of the key problems in rough set theory, and determination of core attribute is the basis to solve the problem of attribute reduction.
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.
在粗糙集理论及粗糙模糊集理论中，上下近似及边界的求解与决策表属性约简是它们的核心内容。
In the rough set theory and rough-fuzzy set theory, computation of approximations and edge and attributes reduction of decision table is import part of them.
寻求一种高效的属性约简算法仍然是粗糙集的研究热点之一，现尚不存在一种非常有效的约简算法。
To find a high performance reduction algorithm is a focus point in the research on rough sets, but there doesn't exist an efficient method so far.
粗糙集理论是一种新的数据挖掘算法，文章以属性依赖重要性作为启发信息提出了一种新的属性约简算法，且加入了一定的分类正确度。
In this paper, we propose a new attributes reduction algorithm based on the significance of attribute dependencies as heuristic information and add a certain variable precision.
在粗糙集理论中，决策表的属性约简是一个非常重要的研究课题。
In the theory of rough set, attribute reduction of decision table was an important research subject.
信息系统的属性约简是所有粗糙集理论和应用研究的焦点问题之一。
The Attribute reduction of Information system is one of the focus of Rough Set Theory and Applied research.
粗糙集的属性约简是一个NP难的问题，但没有一个目前流行的有效的算法。
Attribute reduction of rough sets is an NP hard problem, but there is not a popular efficient algorithm presently.
通过粗糙集理论的EDMAR属性约简算法结合聚类分析，确定钾、铜、钴是影响红霉素效价的主要因素。
Potassium, cuprum and cobalt are found to be the key factors influencing the titer of erythromycin by co-using attribute reduction EDMAR in rough set and cluster analysis.
粗糙集理论的主要思想是在保持分类能力的前提下通过属性约简和值约简提取的决策规则。
The main idea of rough set theory is to extract decision rules by attribute reduction and value reduction in the premises of keeping the ability of classification.
粗糙集的属性约简是一个NP难问题，获得较为高效的算法是研究的主要目的。
Attribute reduction in rough set theory is a NP-hard problem, which is studied mainly to design a more efficient algorithm.
粗糙集理论是机器学习和数据挖掘领域的重要课题之一，其中属性约简算法是该理论实现应用的主要算法。
Rough set theory is one of the main subjects in the field of machine learning and data mining.
粗糙集理论是机器学习和数据挖掘领域的重要课题之一，其中属性约简算法是该理论实现应用的主要算法。
Rough set theory is one of the main subjects in the field of machine learning and data mining.
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