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The definitions of SRS and two theorems of computing the feature weights based on discernibility matrix are presented. 给出了相似粗糙集的基本定义，以及利用该方法基于差别矩阵进行特征权值计算的两个定理。
Compared with algorithms based on discernibility matrix, EDMAR is much less both space complexity and time complexity. 数据约简是粗糙集理论中一个非常重要的研究课题。
This paper improves HORAFA algorithm based on frequency of attribute appears in the discernibility matrix. 文章以属性在区分矩阵中出现的频率作为启发,对HORAFA算法做了一些改进。
A judgment theorem and a discernibility matrix associated with the attribute reduction are presented. 然后给出了属性约简的判定定理和辨识矩阵并详细地研究了属性约简的基本性质。
Combining the max rate sampling strategy and the discernibility matrix together creates the dynamic reduct algorithm. 结合概率抽样策略和差别矩阵构造出一个动态约简算法。
A method for calculating decision rules core based on binary discernibility matrix is presented directly. 基于二进制可辨矩阵给出一个简单的直接求取决策规则核的方法,并提出一种决策规则的约简算法。
The improved discernibility matrix definition together with a method for computing the core is proposed by Yang Ming et al. in 2004. 摘要通过对杨明等提出的改进的差别矩阵定义和求核方法的研究，认为所提出的不可缺少属性判定方法的证明过程中还有一些不完善的地方，需要进行修正。
Based on the attribute reduction method of discernibility max, this paper improves discernibility matrix method and proves it theoretically. 基于属性约简的区分矩阵方法的思想，对区分矩阵方法进行了改进，并给予了理论上的证明，同时对优化方法进行了分析与探讨。
In the paper,some shortcomings of Zhi Tian-yun s the attribute reduction algorithm based on binary discernibility matrix are pointed out. 指出支天云的二进制可分辨矩阵约简算法存在的不足,给出简化的决策表定义和基于二进制可分辨矩阵的属性频率函数的定义。
YE Dong-yi, CHEN Zhao-jiong.A new discernibility matrix and the computation of a core[J].Acta Electronica Sinica, 2002, 30(7): 1086-1088. [7]叶东毅; 陈昭炯.;一个新的差别矩阵及其求核方法[J]
This method decreases overhead in forming and storing discernibility matrix, and simplifies the process of acquiring all reductions of decision system. 该方法减少了生成和存储差别矩阵的时空开销，简化了获取决策系统全部约简的过程。
To this issue，an attribute frequency reduction algorithm based on improved discernibility matrix is presented in this article. 针对这一问题，提出了一种基于改进可辨识矩阵的属性频率约简算法。
The paper put forward a method of discretization of continuous attributes based on discernibility matrix and revised the discrete result by average mutual information. 本文基于可辨识矩阵提出一种连续属性离散化的方法，并利用平均互信息量对离散化结果进行修正。
The method of discernibility matrix is a kind of general method for designing the algorithm of attribute reduction in the existed relative attribute reduction. 摘要在已有的相对属性约简算法中，差别矩阵方法是一种设计属性约简的常用方法。
On the other hand，the constructing process of discernibility matrix has to be restricted by additional function，which increases some computing burdens. 另一方面须通过额外的函数来约束差别矩阵的构造过程，增加计算负担。
For the method based on discernibility matrix for computing a core, reducing the size of discernibility matrix is the key for improving the performance of computation of a core. 摘要对基于差别矩阵的核求解方法而言，差别矩阵的规模是直接影响核求解效率的关键因素。
It can be achieved by heuristic information after attribute reduction.A method for calculating decision rules core based on binary discernibility matrix is presented directly. 基于二进制可辨矩阵给出一个简单的直接求取决策规则核的方法,并提出一种决策规则的约简算法。
The automatic generation algorithm of discernibility function 's disjunctive normal form(DNF) is studied based on rough set theory. The tansformation method form discernibility matrix to conjunction matrix is presented. 基于粗糙集理论,研究分辨函数(DF)的析取范式的自动生成算法,提出由分辨矩阵到合取项矩阵(CM)的计算方法。
Has analyzed the rough set in the weather forecast function, has studied the case base attribute separate method, and through the discernibility matrix method to reduct attribute, reduced the model retrieval time and the spatial expenses. 分析了粗糙集在气象预测中的作用,研究了范例库属性离散化的算法,并通过分明矩阵的方法对属性约简,减少了范例检索的时间和空间开销。
The judgment theorem and the discernibility matrix of the possible reduct and the partly-accordant reduct are given，from which we provide a material approach to knowledge reduction. 分配约简保持所有对象的可能决策类不变，部分一致约简保持部分对象的一致决策不变。