很多属性约简算法以核为起点，计算繁杂。
Many algorithms about attribute reduction take the core as the beginning, the computation is complicated.
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.
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.
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.
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.
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.
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.
提出了一种改进的基于粗集和Tabu搜索的属性约简算法。
An improved algorithm of attribute reduction based on rough set and Tabu search is elaborated.
本文从分类质量和等价类这两个层次上各提出了一个属性约简算法。
This article proposes two attribute reduction algorithms from the classification quality level and equivalent level.
运用属性约简算法生成分类规则，最后利用多知识库进行文档分类。
Generating classification rule by attribution reduces algorithm. Finally, the documents are classified with multiple knowledge bases.
首先分析对比较为成熟的属性约简算法的优缺点，提出论域缩减的方法。
Firstly, we put forward an improved domain reduction method on the basis of analyzing the attribute reduction algorithm of the current information system.
传统的利用区分矩阵进行属性约简算法，其时间复杂度和空间复杂度很大。
The time complexity and space complexity of the traditional attribute reduction algorithm using discernible matrix are quite big.
与现有的决策表属性约简算法进行比较，它具有较低的复杂度和较强的可使用性。
Comparing with the old attribute reduction algorithms, it has lower complex degree and has powerful usability.
再次，对有序决策表进行了研究，提出了一种基于优势矩阵的启发式属性约简算法。
After that we study on the ordered decision table and propose a new heuristic attribute reduction algorithm based on dominance matrix, whose time complexity is polynomial.
针对决策表中属性取值为杂合数据的情况，提出了基于粗糙集理论的属性约简算法。
With regard to the attribute values in decision table, which are described with hybrid data, a new algorithm of attribute reduction based on rough set theory is proposed.
在定义的基础上，给出了基于二进制区分矩阵的求核算法、相对属性约简算法及值约简算法。
Based on the definitions, the core finding algorithm, the relative attribute reduction algorithm and value reduction of information decision system are presented based on binary discernibility matrix.
在不完备信息系统基于差别矩阵的属性约简算法中，相容类和最大相容类中的对象具有不确定性。
In incomplete information system, objects of the tolerance class and maximal consistent block in the attribute reduction algorithm based on discernibility matrix are uncertain.
本文在不改变粗糙集分类能力的基础上引进专家知识，通过改写属性重要度来改进属性约简算法。
This paper improves the attribute reduction algorithm by rewriting the attribute significance which brings in the expert knowledge in the basis of not changing the ability of rough set classification.
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.
该方法首先利用新型文档频进行特征初选以过滤掉一些词条，然后利用所提属性约简算法消除冗余。
The comprehensive method firstly used the new document frequency to select features to filter out some terms, and then employed the attribute reduction algorithm to eliminate redundancy.
将属性约简算法和支持向量机增量训练算法相结合，构造基于粗糙集数据预处理的支持向量机分类器。
To combine the attribute reduction algorithm and the incremental training algorithm of support vector machine, a support vector machine classifier based on rough set is constructed.
本文在变精度粗糙集的属性约简及应用方面做了如下主要研究：研究了变精度粗糙集的属性约简算法。
This text does the following research for attribute reduction and application on the rough set of variable precision. Study attribute reduction algorithm of variable precision rough set.
提出了三种改进的属性约简算法：改进的代数集合算法、重要度加权平均算法和改进的可辨识矩阵算法。
And three modified attribute reduction algorithms are presented, including modified algebraic algorithm, weighed sum of attribute significance algorithm and modified discernible matrix algorithm.
并给出了粗糙集理论中属性约简以及值约简的常规算法，在此基础上给出了基于信息量的属性约简算法。
The general algorithm of attribute reduction and value reduction is presented, from which the attribute reduction algorithm based on information is proposed.
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.
针对这一问题，本文利用数据库技术处理大数据集问题的优越性，提出了一种基于存储过程的属性约简算法。
To solve this problem, this paper proposes an algorithm for attribution reduction based on stored procedure, using the superiority of the database technology.
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.
结合模糊关系的理论，对粗糙集理论的属性约简算法进行研究，提出了一个新的属性约简算法，并给出了一个应用实例。
This paper discussed the attribute reduction in rough set combined fuzzy relation theory, and then proposed a new attribute reduction algorithm and gave an illustrative example.
该文从粒度计算的角度对粗糙集理论的属性约简进行研究，定义了粒度的概念，并在此基础上提出了一种新的属性约简算法。
In this paper, the attribute reduction of rough set is discussed from the viewpoint of granular computing, the concepts of granularity is defined and a new attribute reduction algorithm is presented.
该文从粒度计算的角度对粗糙集理论的属性约简进行研究，定义了粒度的概念，并在此基础上提出了一种新的属性约简算法。
In this paper, the attribute reduction of rough set is discussed from the viewpoint of granular computing, the concepts of granularity is defined and a new attribute reduction algorithm is presented.
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