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Research on Grey Incidence Measurement Method Based on Dynamic Time Warping Distance

机译:基于动态时间翘曲距离的灰色发生率测量方法研究

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摘要

Grey incidence measurement (GIM) method is core content of grey analysis. As the traditional GIM methods only handle sequences with the length, the sequences with different lengths must be padded by deleting data, mean statistic method or GM(1,1) model prediction. It results in the degree of grey being enlarged and loss useful information. On the basis of dynamic time warping (DTW) distance, a novel degree of grey incidence (DTW-Degree) is proposed. It measures the degree of grey incidence by the shortest path in the distance matrix of sequences and does not need to pad any data of sequences. Meanwhile, the corresponding GIM to sequences with different lengths based on DTW (DTW-GIM) is constructed. If is an effective solution to solve the problems, such as the incidence measurement between grey sequences with different length, timeline stretching and bending. Simulation results show that the DTW-GIM is correct and effective. When the GIM Methods based on Deng-Degree and generalized degree are failed, DTW-GIM still achieves a reliable quantitative analysis conclusion.
机译:灰色发生率测量(GIM)方法是灰色分析的核心含量。由于传统的GIM方法仅处理长度的序列,必须通过删除数据,平均统计方法或GM(1,1)模型预测来填充不同长度的序列。它导致灰色的灰色被扩大和损失有用信息。在动态时间翘曲(DTW)距离的基础上,提出了一种新颖的灰色发射(DTW度)。它通过序列距离矩阵中的最短路径测量灰色入射程度,并且不需要填充任何序列数据。同时,构建了基于DTW(DTW-GIM)的不同长度的相应GIM。如果是解决问题的有效解决方案,例如具有不同长度,时间轴拉伸和弯曲的灰色序列之间的发病率测量。仿真结果表明,DTW-GIM是正确有效的。当基于邓小度和广义程度的GIM方法失败时,DTW-GIM仍然实现了可靠的定量分析结论。

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