A visibility graph averaging aggregation operator
A visibility graph averaging aggregation operator
复制标题
可见性图平均聚合算子
DOI：
10.1016/j.physa.2014.02.015
复制
发表时间：
2014-06-01
影响因子：
3.3
通讯作者：
Deng, Yong
中科院分区：
文献类型：
--
作者：
Chen, Shiyu;Hu, Yong;Deng, Yong
聚合问题在许多学科中具有相当重要的意义。本文提出了一种新的可视图平均（VGA）聚集算子。该算子基于可见性图，可以将时间序列转换为图形。根据可见性图中数据的重要性获得权重。最后，通过对TAIEX数据库的分析，说明了VGA算子的实用性，并与经典的聚集算子进行了比较，说明了VGA算子不仅实现了数据的纯粹聚集，而且保存了时间信息的优点。同时，权重的确定也更加合理。(c)© 2014 Elsevier B.V.保留所有权利。
The problem of aggregation is of considerable importance in many disciplines. In this paper, a new type of operator called visibility graph averaging (VGA) aggregation operator is proposed. This proposed operator is based on the visibility graph which can convert a time series into a graph. The weights are obtained according to the importance of the data in the visibility graph. Finally, the VGA operator is used in the analysis of the TAIEX database to illustrate that it is practical and compared with the classic aggregation operators, it shows its advantage that it not only implements the aggregation of the data purely, but also conserves the time information. Meanwhile, the determination of the weights is more reasonable. (c) 2014 Elsevier B.V. All rights reserved.