因此，您需要在包含该对象的每一个对象映射中手动更改标题属性权重。
Therefore, you need to manually change the title property weight in each object map that contains that object.
因为具有相同主要权重的所有字符是等效的，所以将这个属性设置为U+0020 和 U+3000 的效果相同。
Since all characters having the same primary weight are equivalent, setting this attribute to U+0020 is equivalent to setting it to U+3000.
可以使用高级组件属性指定用于计算关键字和权重的信息源和字段。
Advanced component properties let you specify the information source and the fields to use to compute keywords and weightings.
不用手动更改每一个对象映射中属性权重值，或者重新获取对象，您可以在运行时更改对象-属性的权重值。
Instead of manually changing the property weight in each object map or recapturing the object, you can change the object-property weight during run time.
为每个属性分配一个权重，表示该属性相对于其他属性的重要程度。
Assign each attribute a weighting representing how important the attribute is relative to the other attributes.
您需要一种程序化的方法，来设置普通对象对象属性权重的位置。
You need a programmatic way to set in one place the object-property weight of common objects that tests include.
对于tagcloud、chart或其他可兼容组件，可以将权重值的字符串作为属性传播。
The string of weighted values broadcast as a property can be used with the tag cloud, chart, or other compatible component.
按照下面的方法，来创建一个帮助者超类（helper superclass），帮助更改一个对象的属性权重
To create a helper superclass that changes the property weight of an object
还有其他备用方案，包括影响集群工作负载算法的集群通道属性(例如，集群工作负载等级或集群工作负载权重)。
There are additional alternatives, including altering cluster channel attributes that influence the cluster workload algorithm (for example, cluster workload rank or cluster workload weight).
这个权重在调度程序的ProcessingCapacity属性（见图1）中定义。
The weight is defined in the property Processing Capacity (refer to Figure 1) of a dispatcher. With this capacity taken into account Round Robin works like this
这些属性的权重值都是 100。
图2列出这些属性的权重值，50、100和100。
Figure 2 lists the weights for these properties as 50, 100, and 100.
然后，利用属性的组合权重和投影模型，对方案进行排序。
Then, the priorities of proposals can be obtained according to combination weights of attribute and projection model.
为了避免传统的权值确定方法所带来的主观性影响，将粗糙集理论引入可拓权重系数的求解过程中，使权系数问题转化为属性重要度评价问题。
To avoid the excessive subjectivity influenced by the conventional determination methods of weight factor, the rough set was introduced to the solution of the weight factor in the extenics evaluation.
研究了属性权重、属性值以及专家权重均以语言形式给出的纯语言多属性群决策问题。
The group decision making problems are studied, in which all attribute weights, attribute values and expert weights take the form of linguistic labels.
根据粗糙集中的相对正域概念，探讨了如何运用属性重要度确定各属性的客观权重。
This method discusses how to ascertain the impersonal weights allocation by applying the attribute importance based on the relative positive region conception.
当权重、属性值等因素具有不确定性、模糊性、不完全性等性质时，决策过程就会相当复杂。
When the factors such as weights and attributes are uncertain, fuzzy or incomplete, the decision making procedure will be rather complicated.
建立了道路路况评价的属性识别模型，运用熵值法确定指标权重，避免了定权的主观随意性，提高了评价模型的可信度。
The attribute recognition model of road states evaluation was discussed, and the power weight was worked out with the entropy method, which reduced the subjectivity, improved the reliability.
针对不一致数据库，定义属性权重及缺省规则加权支持度概念，在此基础上给出一种缺省规则挖掘算法。
The attribute weight and weighted support of default regular are defined by using the conditional entropy and a mining algorithm of default regulars are given for inconsistent database.
协商评价问题的核心是确定各属性的权重。
The core problem of bargaining evaluation is to determine the weight of each attribute.
在部分权重信息下的不确定语言环境中，提出一种交互式多属性决策方法。
The aim of this paper is to develop an interactive approach for multiple attribute decision making with incomplete weight information under uncertain linguistic environment.
用纯语言(包括属性值、属性权重、专家权重)形式对高等院校图书馆图书采购招标中书商的选择排序进行了量化处理。
To deal with bookseller selection of books acquisition and bidding at university library amount using pure linguistic information including attribute value, attribute weight and expert weight.
针对综合评价中不同专家(或利益相关者)对属性权重看法不一致的情况，提出了一种蒙特卡罗模拟的群体协商评价方法。
For inconsistency among the different experts (or stakeholder) groups' awareness of the attribute weight range, a method of group bargaining evaluation based on the monte carlo simulation is proposed.
基于离差最大化思想提出了一种确定多属性群决策中决策者权重的新方法。
A new method of determining the weights of the decision-makers is proposed based on the idea of maximizing deviations.
提出CF-WFCM算法，该算法分为属性权重学习算法和聚类算法两部分。
This paper proposes CF-WFCM algorithm including feature weight learning algorithm and clustering algorithm.
以灰色系统理论的思想与方法为基础，探讨了属性值和属性权重均为区间灰数的多属性决策方法。
Based on the gray system theory, the multi-attribute decision making problem is discussed, in which both the attribute values and the attribute weights are interval gray Numbers.
通过定性比较和定量计算，只需知道各属性间的大小关系及权重就可以进行装备重要性的评估与排序。
Through qualitative comparison and quantitative calculation, we can evaluate the importance of the ordnance only for weights and relation that who is big and who is small on attributes.
相对权重和合成权重很容易从属性判断矩阵获得。
Related weights and synthetic weights can easily be obtained from attribute judgment matrix.
在属性信息相关时采用加权组合方法，其中涉及的权重，既有信息量权重也有独立性权重。
In the case of correlative attributes, weights are used for evidence combination, which could be derived from information quantity or independence weight.
利用属性重要度等概念，给出了一种基于粗集理论确定属性权重的方法及其具体操作步骤。
According to the concept of importance of attribute, this paper puts forward the method and detailed program of ascertaining attribute weight based on rough sets theory.
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