摘要
随着社会的发展,人们对于数据预测的需求日益增加,模糊时间序列因其能够处理时间序列中含糊不清的数据而备受关注。从提高模型的预测精度角度来看,论域划分作为时间序列数据预测的第一步,作用至关重要。本文提出一种基于FCM的二次论域划分方法。该方法首先根据FCM聚类算法得到的聚类中心对论域进行一次划分,然后根据样本点空间分布的疏密程度不同对论域进行二次细化,实现不等分论域,最后通过对经典样本的预测证明方法的可行性。
With the development of society , people increasingly demand for data prediction , fuzzy time series has been attracted much attention because it can handle the ambiguities in time series data .To improve the prediction accuracy of the model , do-main partition is crucial as the first step of the prediction .In this paper, we present a FCM-based two-time domain partition meth-od .We make the first partition according to the clustering center obtained from FCM clustering , the second partition to realize un-equal domain according to the density distribution of the sample points .Finally, the feasibility of the new method is verified through the prediction of classic sample .
出处
《计算机与现代化》
2015年第5期9-12,共4页
Computer and Modernization
