必须有一个可见属性等价于字段的值。
There must be a visible property that is equivalent to the value of the field.
DITA倾向于采用一种不同的SGML重用技术，为每个元素提供了一个conref属性，可以指向同一主题或不同主题中的其他任何等价元素。
DITA instead leans toward a different SGML reuse technique and provides each element with a conref attribute that can point to any other equivalent element in the same or any other topic.
我想我们将能够通过新的文件属性特性做出一些事情，这些事情与Macintosh资源派生做的事情等价。
I think we're going to be able to do things that are equivalent to what the Macintosh resource fork does through the new file attribute feature.
对于LDAP而言，等价的属性是mail。
这等价于指定display：block属性。
最后证明了属性约简在布尔矩阵和代数两种不同表示下是等价的。
Finally, the equivalence properties between Boolean matrix representation and algebra representation of attribute reduction are proved.
一个简单的文本数据项。第五个参数可以是一个字符串或者文本数据的属性组，以下是等价的。
For a simple text element. Your fourth parameter here can be a string or array of attributes for the text element. The following are equivalent.
并举例说明，对于不一致决策表，其属性约简的代数表示不能用条件信息量来等价表示。
Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by conditional information quantity.
并举例说明，对于不一致决策表，其属性的约简不能用信息量来等价表示。
Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by information quantity.
首先提出主泛化决策等概念，在数据过滤方法的基础上，利用等价类的合并对属性离散化。
Its basic idea is to merge the equivalence classes of q on basis of the methods of data filtering.
本文针对不完备信息系统属性约简的两种定义，证明了两者的等价性。
In this paper, the equivalence of two definitions of attributes reduction in incomplete information system is proved.
特别的，得到了决策属性只取两个决策值的决策表，其广义决策约简同相对约简是等价的。
In particular, a decision table in which the decision attribute has only two values is obtained, and its generalized reduction and relative reduction are equivalent.
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。
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。
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.
本文从分类质量和等价类这两个层次上各提出了一个属性约简算法。
This article proposes two attribute reduction algorithms from the classification quality level and equivalent level.
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；
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.
同时算法中引入了强等价集，很好地解决了属性加权频率值相同的问题。
Meanwhile the strong compressible set has been introduced, so the problem that the values of attributes weight frequency are the same has been solved.
同时证明了属性神经网络与属性坐标系的等价性，从而为属性推理提供可操作的数值推导方法。
The equivalence of attribute neural networks and attribute coordinate space is proved, and a method of numerical value inference is provided for attribute inference.
本文基于决策系统的一致性，定义概念“关键属性”，并证明关键属性集合与属性核之间的等价性。
In this paper, the notion of key feature is defined based on the consistency of a decision system, then the equivalence relation between the set of all key features and the feature core is discovered.
同时算法中引入了强等价集，很好地解决了属性加权频率值相同的问题。
Meanwhile the strong compressible set has been introduced, to solve the problem that the values of attributes weight frequency are the same.
同时算法中引入了强等价集，很好地解决了属性加权频率值相同的问题。
Meanwhile the strong compressible set has been introduced, to solve the problem that the values of attributes weight frequency are the same.
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