研究了一种属性权重未知的混合型多属性决策模型。
This paper studies the hybrid multiple attribute decision-making problem, in which the information about attribute weights is completely unknown.
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.
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.
分类模型由属性模型集成得到，属性权重根据属性相似度计算。
Classification model is integrated by every attribute model, and attribute weight is calculated by attribute similarity.
研究了属性权重和属性值均以区间数形式给出的不确定多属性决策问题。
The uncertain multiple attribute decision-making problem is discussed, in which the attribute weights and the attribute values are in the forms of interval Numbers.
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.
属性权重和属性值有部分或全部是模糊信息的多属性决策称为模糊多属性决策。
Multiple attribute decision making with part or whole fuzzy attribute weights and fuzzy attribute values is called fuzzy multiple attribute decision making.
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.
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.
将带钢质量评价抽象为多属性决策问题，应用主观赋权法和客观赋权法得到两组属性权重。
Abstracted multiple attribute decision making problem from the strip steel quality evaluation, got two groups of attribute weights by using subjective weighting method and objective weighting method.
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.
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.
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.
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
通过定义灰差、属性权重映射和灰置信水平等概念，提出假设检验多传感器时间序列相容性的灰否定域。
And grey rejection region of hypothesis testing for compatibility of time series of multi-sensor through definition of concepts, grey difference, attribute weight mapping and grey confidence level.
对于多属性决策的关于属性权重、属性指标值和方案效用值三个参数的不完全信息，建立了两种决策模型。
Two models are constructed for MADM with incomplete information about three parameters, attribute weights, attribute values and utility values of alternatives.
给出了当各方案的属性值和属性权重都发生变化时，为使原方案的排序结果不变，属性权重和属性值的一个扰动上界。
At last the perturbation bounds of each attribute value and attribute weight, which make the alternative maintain the same sort, are obtained.
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.
对于不完全信息的群体多属性决策问题，研究在各决策者给出属性权重信息有冲突的情况下个体属性权重信息的集结问题。
For interval multiple attribute group decision making problems, in which all attribute weights and attribute values are interval Numbers, an approach based on CC-OWG operator is developed.
针对多属性群决策问题，在已知属性权重和专家主观权重的基础上，提出了一种基于决策关联度的专家权重自适应调整方法。
For multiple attributive group decision, an improved method based on decision relational degree is proposed to adaptively adjust the experts weights.
针对属性权重未知且属性值为定值的多属性决策问题，分析了两类求解属性客观权重方法的不足，建立了客观权重模型合理性的判定定理。
Firstly, the shortcomings of two existed methods are analysed and a rule to estimate the rationality of methods for determining objective weight is set up.
针对属性权重和属性值均为区间数的多属性决策问题，提出了一种新的灰色关联分析法。首先定义了区间数正理想方案，由此计算出各方案相对于正理想方案的区间数灰色关联系数。
With respect to multiple attribute decision-making problem in which both the attribute weights and attribute values are interval Numbers, a new method of grey relational analysis (GRA) is proposed.
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.
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.
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.
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
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