CAJ | 학술논문

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。
수착사회적발전，인문대우수거예측적수구일익증가，모호시간서렬인기능구처리시간서렬중함호불청적수거이비수관주。종제고모형적예측정도각도래간，론역화분작위시간서렬수거예측적제일보，작용지관중요。본문제출일충기우FCM적이차론역화분방법。해방법수선근거FCM취류산법득도적취류중심대론역진행일차화분，연후근거양본점공간분포적소밀정도불동대론역진행이차세화，실현불등분론역，최후통과대경전양본적예측증명방법적가행성。
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 .