The Rough Set Theory can handle such problems as data reduction, data mining, the evaluation of attribute importance, the formation of decision algorithm etc.
利用粗集理论处理的主要问题包括：数据简化、数据相关性的发现、数据意义的评估、由数据产生决策算法等。
Finally, rough set theory is applied to discretization and attribution reduction of decision information table, in order to make the decision rule of image segmentation algorithm selection.
最后应用粗糙集理论来对决策信息表进行离散化处理和属性约简，以生成图像分割算法选取的决策规则。
This paper gives the judgement theorems of consistent set and characters of attributes in consistent decision formal context and provides an algorithm to explore the reduction.
该文在协调决策形式背景下给出了协调集及属性特征的判定定理，并在此基础上得到了一种求属性约简的方法。
Universe reduction refers to the compression of object set in decision table.
论域约简是指对决策表对象集合的压缩。
The most concise decision rule set that satisfies condition of mean decision power is regarded as final reduction result in the new reduction model.
新的约简模型将满足平均决策强度条件的最简规则集作为最终的约简结果，解决了不相容决策表约简结果不一致的问题。
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.
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。
The main contents include the approximation set, decision systems, data preprocessing and attribute reduction and so on. It is a effective method of dealing with incomplete, inaccurate data.
其主要内容包括近似集、决策系统、数据预处理以及属性约简等等，是一种处理不完整，不精确数据的有效方法。
Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.
粗糙集理论是一种新型的数据挖掘和决策分析方法，利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。
The method combined CHI value feature selection and rough set theory fully so as to avoid both feature reduction on a large scale decision table and the discretization of the decision table.
该方法将CHI值特征选取和粗糙集理论充分结合，避免了用粗糙集对大规模决策表进行特征约简，同时避免了决策表的离散化。
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.
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 theory of rough set, attribute reduction of decision table was an important research subject.
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。
The research of this thesis is mainly about the dynamic reduction based on rough set theory as well as how to establish and develop the decision rules after completing the reduction.
本论文的研究工作，主要围绕着基于粗糙集理论的动态约简以求得决策规则。
The clinical information systems segment is set to thrive on the industry's need for key decision-making in the areas of cost reduction, workflow optimization and quality enhancement.
临床信息系统的部分设置为蓬勃发展的行业需要的关键决策领域的成本降低，流程的优化和质量提高。
Value reduction in rough set theory and decision tree in data mining are effectively used in the classification, but each of them has shortcomings.
粗糙集理论中的值约简和数据挖掘领域中的决策树都是有效的分类方法，但二者都有其局限性。
To a certain extent, the algorithm can resolve the attribute reduction problem of abnormal decision tables and extend application of rough set theory.
该算法在一定程度上能够解决非常规决策表的属性约简问题，进一步扩展了粗糙集理论的应用范围。
Moreover, the similarity dominance-based rough set model is introduced into the incomplete fuzzy decision system for knowledge reduction and knowledge acquisition.
将基于相似优势关系的粗糙集模型引入不完备模糊决策系统中，对其中的知识约简与知识获取问题进行了研究。
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。
Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.
同样，基于粗糙集理论对特征集进行约简，在最优决策属性的基础上使用最小二乘支持向量机分类器对流型进行识别。
Then we give the judgment theorems and the discernibility matrices of the generalized decision reduction in set-valued decision i…
最后，基于两种关系从集值决策信息系统提取了最优广义决策规则，并进行了讨论。
A method of reduction of decision rulers is proposed based on rough set and fuzzy set.
提出了一种新型的决策规则约简方法。
In this paper, with respect to the ordinal variables, the definitions of attribute reduction of dominance-based rough set approach in ordered information systems and ordered decision tables are given.
针对有序尺度变量，给出了有序信息系统与有序决策表在优势关系下的粗糙集约简定义；
The user feature extraction algorithmic in this paper reference from attribute reduction and decision rule extraction of rough set theory.
本文中用户行为特征提取算法的设计主要借鉴了粗糙集理论中的属性约简与规则提取的思想。
The user feature extraction algorithmic in this paper reference from attribute reduction and decision rule extraction of rough set theory.
本文中用户行为特征提取算法的设计主要借鉴了粗糙集理论中的属性约简与规则提取的思想。
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