属性重要性（attribute importance）通常被认为人们对产品 属性有意义的整体的评估。在分析顾客满意，以來自特定重要属性与属性绩效的期望。
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属性重要性评价 evaluation significance of attributes
属性重要性测度 measure significance of attributes
产品属性的重要性权数 degrees of importance
相关属性的重要性权数 Importance weights
The notion of different quantity of partition is defined in information systems;and then a new way for measuring attribute significance is obtained. After that a heuristic algorithm for reduction of attribute is put forward.
对信息系统提出划分差量的概念,由此得到一个刻画属性重要性的新指标,随后提出一种新的属性约简的启发式算法。
参考来源 - 一种基于划分的信息系统属性约简算法In this paper, we propose some new methods for computing the attribute cores, the significance of attributes and the dependency between attribute subsets based on database operations.
文中基于数据库操作,提出了一种计算属性核值,衡量属性重要性,判断属性子集是否是一个约简的新方法。
参考来源 - 基于粗集的知识获取方法的研究In this paper, firstly, the algorithms of attribute reduction are researched; they are algorithm based on discernibility matrix, heuristic reduction algorithm based on importance of attribute and improving algorithm based on discernibility matrix.
本文首先对基于区分矩阵的约简算法、基于属性重要性的启发式约简算法及基于区分矩阵的改进的约简算法进行了研究。
参考来源 - 基于粗糙集的高职学生非智力学习因素研究·2,447,543篇论文数据，部分数据来源于NoteExpress
提出一种基于粗糙集属性重要性的属性约简算法。
Proposed an algorithm of attribute reduction based on attribute importance of rough set.
提出一种基于属性重要性的粗糙rbf神经网络模型。
A model of rough radial basis function (RBF) neural network with attribute significance is presented.
以新的属性重要性为启发式信息设计决策树规则提取方法。
Finally, a heuristic algorithm for rules extraction of decision tree was designed.
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