Proposed an algorithm of attribute reduction based on attribute importance of rough set.
提出一种基于粗糙集属性重要性的属性约简算法。
An improved algorithm of attribute reduction based on rough set and Tabu search is elaborated.
提出了一种改进的基于粗集和Tabu搜索的属性约简算法。
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.
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 technology of attribute reduction based on the intuitionistic fuzzy rough set theory is described as to the problem of information loss in the process of discretization.
本文针对传统的离散化技术所造成的信息丢失问题，提出了利用直觉模糊粗糙集合理论来进行属性约简的方法。
The author gains insights from attribute reduction based on discernability matrix and proposes a few rough-set based text feature selection algorithms, i. e. , DB1, DB2 and LDB.
作者从基于分辨矩阵的粗糙集属性约简中受到启发，提出了一系列基于粗集理论的文本特征选择算法，即DB1、DB2、LDB。
Based on the reduction of attribute sets, the partial order relation matrix of radar jamming space is obtained.
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。
And then a relative attribute reduction algorithm is mentioned based on information entropy.
后面又提到了基于信息熵的相对属性约简算法。
And on this basis, an attribute reduction algorithm based on the improved differential evolutionary algorithm was put forward.
并在此基础上提出了基于差分演化算法的属性约简算法。
Four kinds of condition entropy are defined in this paper. Accordingly, four kinds of entropy based methods for the attribute reduction in the rough set data analysis are proposed.
本文定义了四种条件熵，并在此基础上提出了四种基于熵的方法，以用于粗糙集数据分析中的属性简约。
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 attribute reduction of rough set, from different aspects, this paper sets up indicator screening model based on rough set.
基于粗糙集的属性约简原理，本文从不同的角度建立了基于粗糙集的指标筛选模型。
The process of attribute reduction is analyzed in assembly knowledge discovery based on rough set.
分析了基于粗糙集理论的装配知识发现中属性归约的过程。
The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy, though running an example, we show that this algorithm is effective.
提出了一种基于条件粒度熵的属性约简的启发式算法，通过例子分析，表明该算法是有效的。
Based on that theory, this paper deals with the attribute reduction for the fault diagnosis decision-making table of the vibration equipment.
本文根据粗糙集理论，对设备的振动故障诊断决策表进行属性约简，以提取故障识别的重要属性，降低决策表的冗余性。
Then, an attribute reduction algorithm based on indiscernibility matrix is introduced.
给出了基于不可区分矩阵的属性频率约简算法。
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.
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。
To improve the efficiency of attribute reduction, a rapid reduction algorithm based on conditional information quantity is proposed.
为提高粗集约简的效率，提出了一种基于条件信息量的快速粗集约简算法。
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.
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。
In this paper we present a novel hybrid algorithm based on attribute reduction of RS and classification principles of SVM.
结合粗糙集的属性约简和支持向量机的分类机理，提出了一种混合算法。
Through improving and extending the process of computing core, the minimal reduction algorithm based on attribute frequency heuristic information are put forward.
对分辨矩阵求核过程进行改进与扩展，给出了一种以属性频度作为启发式信息计算最小约简快速完备方法。
Based on rough logic, theorems is presented, whether attribute reduction and minimal decision algorithm change or not when a new instance is added to the universe.
以粗糙逻辑为基础，首先给出了在新实例加入论域后判断约简变化与否以及判断原极小决策算法中决策规则变化与否的判定依据。
With the combination of attribute reduction in concept lattice, the model provides users with a semantic matching model based on concept lattice of theoretical value.
结合概念格属性约简等知识，该模型为用户提供一种有价值的基于概念格的语义匹配方法。
To predict reservoir characteristic parameters of four regions exactly, a method based on the attribute reduction by the rough set and SVR is presented.
为了更准确的预测油藏四个区域的物性参数，本文提出了结合粗糙集属性约简和支持向量机回归的方法。
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.
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。
Based on this measure, a new method of attribute reduction of ordered information systems and ordered decision tables is presented without changing the ordinal information of the universe.
在不改变总体序信息情况下，给出了基于此度量对有序信息系统与有序决策表进行约简的新方法。
In incomplete information system, objects of the tolerance class and maximal consistent block in the attribute reduction algorithm based on discernibility matrix are uncertain.
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 addition, we propose theory of knowledge reduction based on consistent decision formal context and give the judgement theorems and discernibility matrices, from which methods of attribute …
进一步给出了属性约简的判定定理和相应的可辩识属性矩阵，从而为概念格中协调决策形式背景属性约简提供了一种具体的方法。
In addition, we propose theory of knowledge reduction based on consistent decision formal context and give the judgement theorems and discernibility matrices, from which methods of attribute …
进一步给出了属性约简的判定定理和相应的可辩识属性矩阵，从而为概念格中协调决策形式背景属性约简提供了一种具体的方法。
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