If you add a new attribute or edit an existing one, an attribute editor appears, as shown in Figure 15.
如果添加新需求或编辑现有需求，就会出现属性编辑器，如图15所示。
Figure 8 (larger image) shows the result of dragging and dropping the term Health Status Date to add a new attribute to the Customer class.
图8(参见大图)展示了拖放术语HealthStatusDate来向customer类添加一个新属性的结果。
If you are using WebSphere Process Server as your backend application, you will need to manually add a new attribute to the BCG_PackagingHeaders Business Object with the name of x-aux-in-file-name.
如果您使用WebSphereProcessServer作为后端应用程序，则需要在BCG_PackagingHeadersBusinessObject中手动添加一个新的属性，并将其命名为x - aux - in - file - name。
Open the MySQLDatabaseSystemUnitValidator class and add a new class attribute for the validator identifier to your source code (see Listing 8).
打开mysqldatabasesystemunitvalidator类，并为确认器标识符向源代码添加一个新的类属性(见于代码清单8)。
The instance view lets you create a new instance, add and delete elements and attributes, change element and attribute names, move element and attribute nodes, rename them, and assign values to them.
Instance视图允许创建新实例，增加和删除元素或属性，改变元素和属性名，删除元素和属性节点，重命名和为其赋值。
Click new to add a new interceptor, and fill in the class name attribute with the fully qualified name of your interceptor class.
单击new添加新的拦截器，并用拦截器类的完全限定名称来填写类名称属性。
You can add attributes using the setAttribute() method, which automatically creates a new ATTRIBUTE node if one does not already exist on the target element with the given name.
可以使用setAttribute()方法来添加属性，如果在目标元素中不存在给定名称的属性，该方法将自动创建一个新的ATTRIBUTE节点。
Click add so that a new attribute is added to the bottom of the list.
单击add以便将一个新属性添加到列表底部。
Create a new preference variable in the Add Attribute dialog, as shown in Figure 48.
在Add Attribute对话框中创建一个新的偏好，如图48所示。
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。
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。
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