【作者】 郭义贤； 张陈斌； 陈宗海；

【Author】 Guo Yi-xian;Zhang Chen-bin;Chen Zong-hai;Department of Automation,University of Science and Technology of China;

【机构】 中国科学技术大学自动化系；

【摘要】 在数据爆炸式增长的今天,如何从一堆复杂的数据中提取出有效的数据,获得其内部的结构并用一种直观的方式表现出来,是现在各个领域亟待解决的问题。本文提出了一种将统计地图和解释结构模型方法相结合,并用一种较直观的图形表现出来,以此给出其内部结构模型,可用于大量数据或大系统的分析和处理,并能验证其结构模型的准确性。更多还原

【Abstract】 How to extract the valid information from a pile of complex data and get its internal structure by a straightforward way is a problem urgently to be solved in many fields in the data explosion era.This paper provides an approach to combine statistic maps and interpretive structural models,and gives a more intuitive graphical expression.This approach can be used for analysing and processing for a large number of data or big systems,and its internal structure model is also given.Verifying of the structure accuracy of the model is also given.更多还原