The necessity and the feasibility of introducing attribute weight into digital fingerprinting system are given.
分析了在数字指纹系统中引入属性的必要性和可行性。
Classification model is integrated by every attribute model, and attribute weight is calculated by attribute similarity.
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。
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.
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。
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.
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。
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。
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.
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。
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.
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.
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。
应用推荐