该算法需要多次计算属性重要度。
The algorithm needs to compute the significance of the attributes many times.
本文提出一种基于属性重要度的启发式特征选取算法。
In this paper, we introduce an algorithm which is using the importance of attribute with heuristics for feature selection.
该算法以属性重要度为迭代准则得到属性集合的最小约简。
This algorithm takes the importance of attribute as the iterative criterion and finds the least reduction of attribute-set.
针对这些问题，提出了一种基于属性重要度的整体连续属性离散化方法。
Regarding this, this paper puts forward the discrete method of the overall continuous attributes which is based on the importance of attributes.
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.
另一方面，针对解决约简的最优属性的选择问题，提出一种加权求和的属性重要度定义。
On the other hand, an improved definition of the attribute significance based on the weighed sum is proposed.
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.
本文在不改变粗糙集分类能力的基础上引进专家知识，通过改写属性重要度来改进属性约简算法。
This paper improves the attribute reduction algorithm by rewriting the attribute significance which brings in the expert knowledge in the basis of not changing the ability of rough set classification.
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.
更重要的是，OSIMM允许组织根据一组属性选择理想的成熟度级别，这些属性与组织的业务目标相适应。
More importantly, OSIMM allows an organization to pick their desired level of maturity based on a set of attributes that align with the business goals of the organization.
可跟踪性，是指一个项目的某种期望属性，说明了诸多重要信息之间的相互关系，是项目保持一定的透明度和能见度。
Traceability, is a desired property of the project where a statement is made about the transparency and visibility of important pieces of information and their interrelationships.
提出了三种改进的属性约简算法：改进的代数集合算法、重要度加权平均算法和改进的可辨识矩阵算法。
And three modified attribute reduction algorithms are presented, including modified algebraic algorithm, weighed sum of attribute significance algorithm and modified discernible matrix algorithm.
确定服务属性的相对重要性是顾客满意度测量的最重要的目标之一。
Determining the relative importance of service attributes is one of the most important objectives of customer satisfaction measurement.
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.
目前粗糙集决策表中条件属性的重要性基本上是用条件属性的依赖度进行评判的。
At present basically significance of conditional attribute in the decisional table based on rough sets is evaluated through dependability of conditional attribute.
论文以决策强度、条件向量的覆盖度和属性的重要性为启发式信息，提出了条件向量约简的一种启发式算法，通过实验验证了该算法是有效的。
In this paper, a heuristic algorithm based on decision strength, the coverage degree of condition vectors and the significance of attribute for condition vectors' reduction is proposed. Experi...
论文以决策强度、条件向量的覆盖度和属性的重要性为启发式信息，提出了条件向量约简的一种启发式算法，通过实验验证了该算法是有效的。
In this paper, a heuristic algorithm based on decision strength, the coverage degree of condition vectors and the significance of attribute for condition vectors' reduction is proposed. Experi...
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