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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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