模糊聚类方法在模糊时间序列预测中的应用研究

Tikrit Journal of Pure Science Pub Date : 2023-02-10 DOI:10.25130/tjps.v20i5.1253

Azher Abbas mohammad Ayad hammad, Mohammed Taha A. AL-gan'nam, KHalaf AL-loheby

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摘要

本文研究了模糊时间序列预测中的几种模糊聚类方法，特别是Chen方法，并利用FCM方法构造了模糊聚类。本文提出了一种基于重新建立模糊群关系的预测方法，并将该方法应用于以往的一阶和二阶模糊关系预测方法，并将聚类数在5 ~ 11之间的结果进行了比较，得到了M.S.E.小于原方法的最佳预测结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application

In this research we study some fuzzy clustering methods in fuzzy time series forecasting especially Chen method and we used a FCM method to construct a fuzzy clustering . we suggest a new method for forecasting based on re-established a fuzzy group relation and we apply the suggest method and comparing the results of pervious methods for first and second order fuzzy relation with the number of clusters between 5 and 11 and we obtained best forecasting with m.s.e. less than the previous method.

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Tikrit Journal of Pure Science

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