不完备信息系统的程度属性约简方法
Method of the Degree Attribute Reduction in Incomplete Information Systems
本文通过对不完备信息系统中各属性间的相容关系、知识粒度变化和属性重要度的分析,利用变精度粗糙集模型的思想方法,定义了属性的相对错误约简率。基于属性的相对错误约简率,提出了不完备信息系统属性的程度属性约简的概念和方法,并给出了相应的算法。通过对算法的时间复杂度分析,本文提出算法的时间复杂度为 。本文通过算例,验证了程度属性约简方法的有效性。不完备信息系统的程度属性约简方法实质上是保持粒度大小在一定的程度范围内不变,删除一些相对不相关或不重要的属性而进行的一种属性约简方法。该方法能够按照用户需求提取信息系统中有用的信息,能够更大程度上简化信息系统。
hroughout the analysis of the compatible relationship between the attributes, the change of knowledge granularity and attribute importance, by means of the thinking of variable precision rough set model, the rate of relative error reduction( ) is defined. Based on it, the paper proposes the concept and method of degree attribute reduction and gives a correspondent algorithm. By the analysis of the time complexity of the algorithm, the time complexity of the algorithm in the paper is .By example, the degree attribute reduction method is effective. The degree attribute reduction method in Incomplete information systems is a kind of attribute reduction method in essence to maintain the granularity to a certain extent deleting a number of relatively unimportant or irrelevant properties. The one can extract useful information in information systems in accordance with the user demands and simplify information systems to a greater degree.
李晓旭、高文龙、林和
计算技术、计算机技术
不完备信息系统相对错误约简率程度属性约简
incomplete information systemRrerdegree attribute reduction
李晓旭,高文龙,林和.不完备信息系统的程度属性约简方法[EB/OL].(2008-11-26)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200811-750.点此复制
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