Secondly, we investigate the method of discernibility matrix and function.

其次，我们对差别矩阵差别函数的方法进行了研究。

It corresponds approximately to Freud's superego and is the ground for discernibility and difference.

它大约相当于弗洛伊德“超我”的概念，而且是区分和分化的前提。

Discernibility ability index DI(a) of decision table is defined, some properties about DI(a) are presented.

根据决策表定义条件属性区分能力指数DI（a）的概念，给出DI（a）的若干性质。

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。

Discernibility matrix and discernibility function are a powerful tool seeking nuclear attributes and attribute reduction.

区分矩阵和区分函数是求核和约简的有力工具。

Aiming at these disadvantages, a new selected attribute standard based on magnitude of the discernibility element is proposed.

针对这些不足，提出基于差别元素的大小为新的属性选择标准。

By means of integrating conflict analysis and the idea of discernibility matrix, the concept of conflict matrix is put forward.

通过将冲突分析与粗糙集理论相结合，利用信息系统表示冲突问题，提出了冲突矩阵的概念。

In order to overcome the problem, a new method of data discretization based on candidate cuts discernibility matrix is presented.

针对这一问题，提出了一种基于候选断点区分矩阵的数据离散化算法。

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。

In this paper, application about discernibility matrix arithmetic and HORAFA arithmetic based on the rough set theory is introduced.

简要介绍了粗糙集理论中区分矩阵算法和HORAFA算法在知识约简中的应用。

The data processing time-consumed by discernibility of matrix is predicted, and the feasibility of data mining experiment is forecasted.

推算可预知分辨矩阵法处理数据所消耗的时间，对数据挖掘实验的可行性进行预测。

An extracting rules algorithm based on class feature matrix is presented, which has made use of the characteristic of discernibility matrix.

充分考虑了可辨识矩阵的特性，提出一种基于类别特征矩阵的决策规则提取算法。

Methods used now almost stay in memory, and need to create discernibility matrix, so that it may lead to some demerits as time and space complex.

分析了目前常用求属性核方法，大都建立在内存中，需要构造差别矩阵，存在时空复杂度较大的不足。

Subsequently, to heuristically measure the relative importance of candidate cuts, relevant metrics are studied based on "cut discernibility matrix".

其次，论文研究了通过“断点分辨矩阵”来度量候选断点重要性的启发式方式。

In this paper, a construction method of discernibility matrix for both consistent information systems and inconsistent information systems is presented.

提出了一种适于相容和不相容两种形式信息系统差别矩阵的统一构造方法，证明了用该差别矩阵求核的正确性。

The paper puts forward a method of discretization of continuous properties based on discernibility matrix and revises 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。

In order to solve updating core attributes of incremental condition attribute system, an equivalent binary discernibility matrix is proposed based on in-depth study firstly.

为解决信息 系统在 条件 属性 动态增加情况下的核 属性 更新问题，通过深入分析得到了一种二进制区分矩阵的等价表示方法；

Secondly, it introduces an improved algorithm which revises the discernibility relation of similarity sets on the basis of the Discernibility Matrix of distribution reduction.

接着对分布约简的可辨识矩阵中等价类的区分关系进行改进，提出一种新的近似约简算法。

Both of attribute weight frequency and strong compressible set are used to simplify discernibility matrix so that computing complexity is decreased and reduction efficiency is.

同时利用属性加权频率和强等价集概念化简区分矩阵，既减小了计算复杂度又提高了约简效率。

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。

An algorithm of compute core is provided. An example illustrates that the elements of discernibility matrix in this algorithm reduce and the efficiency of computing core is improved.

在此基础上给出一个求核算法，通过实例证明，由于减少了差别矩阵中的元素，因此算法的求核效率得到较大提高。

In the improved algorithm in this paper, using frequency as the heuristic information of attributes selection, getting frequency of attributes from the filtered discernibility matrix.

论文的改进算法以属性的频率作为选择属性的启发信息，由过滤差别矩阵得到属性的频率。

Both of attribute weight frequency and strong compressible set are used to simplify discernibility matrix so that computing complexity is decreased and reduction efficiency is increased.

同时利用属性加权频率和强等价集概念化简区分矩阵，既减小了计算复杂度又提高了约简效率。

The authors introduced an incremental updating algorithm for computing core based on improved discernibility matrix, which mainly considered core updating when objects dynamically increased.

在此基础上提出一种基于改进差别矩阵的核增量式更新算法，主要考虑对象动态增加情况下核的更新问题。

It proposes two data reduction models based on discernibility matrix and data analysis separately, improves the discernibility matrix algorithm and made the comparison between the two models.

提出了基于分辨矩阵和数据分析的两种数据约简模型，并对分辨矩阵算法做了改进，最后对这两种模型进行了比较。

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。

Aiming at the problem of equivalent conversion from conjunctive normal form to disjunctive normal form, an effective algorithm was proposed to construct reduction tree based on discernibility matrix.

针对差别矩阵求约简过程中合取范式向析取范式等价转换的难题，提出一种基于差别矩阵构造约简树的有效方法。

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。