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 compa...

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Main Authors: Azher Abbas mohammad Ayad hammad, Mohammed Taha A. AL-gan'nam, KHalaf AL-loheby
Format: Article
Language:English
Published: Tikrit University 2023-02-01
Series:Tikrit Journal of Pure Science
Subjects:
Online Access:https://tjpsj.org/index.php/tjps/article/view/1253
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author Azher Abbas mohammad Ayad hammad
Mohammed Taha A. AL-gan'nam
KHalaf AL-loheby
author_facet Azher Abbas mohammad Ayad hammad
Mohammed Taha A. AL-gan'nam
KHalaf AL-loheby
author_sort Azher Abbas mohammad Ayad hammad
collection DOAJ
description 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.
format Article
id doaj-art-2cef3d93892f47b2b39798fc2f2f39aa
institution Kabale University
issn 1813-1662
2415-1726
language English
publishDate 2023-02-01
publisher Tikrit University
record_format Article
series Tikrit Journal of Pure Science
spelling doaj-art-2cef3d93892f47b2b39798fc2f2f39aa2025-08-20T03:28:59ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262023-02-0120510.25130/tjps.v20i5.1253Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with ApplicationAzher Abbas mohammad Ayad hammadMohammed Taha A. AL-gan'namKHalaf AL-loheby 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. https://tjpsj.org/index.php/tjps/article/view/1253StudyFuzzy-Clustering MethodsFuzzy TimeApplicationFCM
spellingShingle Azher Abbas mohammad Ayad hammad
Mohammed Taha A. AL-gan'nam
KHalaf AL-loheby
Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application
Tikrit Journal of Pure Science
Study
Fuzzy-Clustering Methods
Fuzzy Time
Application
FCM
title Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application
title_full Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application
title_fullStr Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application
title_full_unstemmed Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application
title_short Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application
title_sort study on fuzzy clustering methods in fuzzy time series forecasting with application
topic Study
Fuzzy-Clustering Methods
Fuzzy Time
Application
FCM
url https://tjpsj.org/index.php/tjps/article/view/1253
work_keys_str_mv AT azherabbasmohammadayadhammad studyonfuzzyclusteringmethodsinfuzzytimeseriesforecastingwithapplication
AT mohammedtahaaalgannam studyonfuzzyclusteringmethodsinfuzzytimeseriesforecastingwithapplication
AT khalafalloheby studyonfuzzyclusteringmethodsinfuzzytimeseriesforecastingwithapplication