基于粒隶属约简的地震数据库简化方法研究  

Research on Simplification Methods of Seismic Database for CTBT Based on Granular Membership Reduction

作　　者：孙昱薇[1] 郑学锋[1] 潘常周[1] 靳平[1] 

机构地区：[1]西北核技术研究所,西安710024

出　　处：《计算机科学》2013年第11期276-279,共4页Computer Science

摘　　要：地震数据的共享大大推动了地震科学的研究进展,对海量地震数据进行知识发现,以促进地震监测技术发展。概念格是知识发现的有力工具,知识约简是知识发现的一个重要方面。通过定义的隶属关系对形式背景进行分类,利用粒隶属约简对隶属类做有选择的简化;并提出简化概念格扩充定理,最终将简化概念扩充为原形式背景概念格。对UCI机器学习知识库真实数据集进行了实验,结果表明该方法可行有效,可最大限度地简化对象属性。该方法正应用于地震核查数据库。Sharing of seismic data greatly promote the progress of seismic science. Meanwhile, knowledge discovery for massive seismic data is advancing the development of seismic monitoring technology. Concept lattice is a powerful tool in knowledge discovery. Knowledge reduction, moreover, is one of the important aspects of knowledge discovery. Firstly, this paper used membership relationships defined to classify formal context, and simplified membership class by using granular membership reduction. And then, the reduced concept lattice was expanded by selecting objects and attributes dynamically,accordingly, the concept lattice of original formal context was converted eventually. Finally, typical exam- ples of UCI database were analyzed. The results show that this method is effective and can simplify the objects and at- tributes in the maximum scale. The method is also applyied in the seismic database.

关 键 词：地震数据 概念格 形式背景 粒隶属约简 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]