多变量时间序列的模糊决策树挖掘

Multivariable time series fuzzy decision tree mining

针对目前时间序列决策研究方法的一些缺陷,提出了多变量时间序列模糊决策树挖掘方法,并给出了该方法的实验分析。实验结果证明该方法能够找出多变量时间序列子序列的形态与某个序列的后期趋势或状态的决策信息。

Focused on the limitations of the research approaches of time series decision making at present, this paper put forward an approach of muhivariable time series fuzzy decision tree mining, also gave out the experimental analysis of the approach. The experimental result shows that the approach is capable of finding out the decision relationship between the suhsequences pattern of muhivariahle time series and the future trend or state of time series.