对于不平衡数据的模糊时间序列预测

摘要

Fuzzy time series has been widely concerned since it was put forward.It is the most important to increase accuracy of prediction when using fuzzy time series to forecast.In order to make the forecast more accurate,firstly imbalanced data are classified,then prediction is made by fuzzy time series.At last the method is shown it's practicability by experiments.%模糊时间序列自从被提出便得到广泛的关注.在运用模糊时间序列进行预测时,增加预测的准确度为研究的根本点.为了使预测结果更加精准,本文首先对不平衡数据集分类,将数据进行初始的划分,然后进行模糊时间序列预测,最后通过实验表明了该方法的实用性.