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

Authors

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

DOI:

https://doi.org/10.25130/tjps.v20i5.1253

Abstract

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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Published

2023-02-10

How to Cite

Azher Abbas mohammad Ayad hammad, Mohammed Taha A. AL-gan'nam, & KHalaf AL-loheby. (2023). Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application. Tikrit Journal of Pure Science, 20(5), 168–184. https://doi.org/10.25130/tjps.v20i5.1253

Issue

Vol. 20 No. 5 (2015)

Section

Articles

License

Copyright (c) 2023 Tikrit Journal of Pure Science

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