Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time Series
Fuzzy time series models have been put forward for Rainfall Prediction from many researchers around the globe. Fuzzy time series methods do not require any assumptions valid for classic time series approaches. The most important disadvantage of fuzzy time series approaches is that it needs subjectiv...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Accademia Piceno Aprutina dei Velati
2023-01-01
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Series: | Ratio Mathematica |
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Online Access: | http://eiris.it/ojs/index.php/ratiomathematica/article/view/1011 |
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author | D Rajan R Sugunthakunthalambigai |
author_facet | D Rajan R Sugunthakunthalambigai |
author_sort | D Rajan |
collection | DOAJ |
description | Fuzzy time series models have been put forward for Rainfall Prediction from many researchers around the globe. Fuzzy time series methods do not require any assumptions valid for classic time series approaches. The most important disadvantage of fuzzy time series approaches is that it needs subjective decisions, especially in fuzzification stage. This paper proposes a novel improvement of forecasting approach based on using first order fuzzy time series. In contrast to traditional forecasting methods, fuzzy time series can be also applied to problems, in which historical rainfall data of Trichy district. In this study reveals some feature of FTS predicting Rainfall and the results have been compared with other methods. |
first_indexed | 2024-04-10T05:39:26Z |
format | Article |
id | doaj.art-f5f85d951a8148b0be755a74a42687f5 |
institution | Directory Open Access Journal |
issn | 1592-7415 2282-8214 |
language | English |
last_indexed | 2024-04-10T05:39:26Z |
publishDate | 2023-01-01 |
publisher | Accademia Piceno Aprutina dei Velati |
record_format | Article |
series | Ratio Mathematica |
spelling | doaj.art-f5f85d951a8148b0be755a74a42687f52023-03-06T14:24:41ZengAccademia Piceno Aprutina dei VelatiRatio Mathematica1592-74152282-82142023-01-0145010.23755/rm.v45i0.1011699Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time SeriesD Rajan0R Sugunthakunthalambigai1TBML College, Porayar-609 307, Mayiladuthurai Dist., IndiaHC&RI(W), Trichy, TNAU, Tamilnadu, IndiaFuzzy time series models have been put forward for Rainfall Prediction from many researchers around the globe. Fuzzy time series methods do not require any assumptions valid for classic time series approaches. The most important disadvantage of fuzzy time series approaches is that it needs subjective decisions, especially in fuzzification stage. This paper proposes a novel improvement of forecasting approach based on using first order fuzzy time series. In contrast to traditional forecasting methods, fuzzy time series can be also applied to problems, in which historical rainfall data of Trichy district. In this study reveals some feature of FTS predicting Rainfall and the results have been compared with other methods.http://eiris.it/ojs/index.php/ratiomathematica/article/view/1011predicting rainfall, fuzzy time seriestime variant, fuzzy membership gradefuzzy logical relations, fuzzy relation. |
spellingShingle | D Rajan R Sugunthakunthalambigai Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time Series Ratio Mathematica predicting rainfall, fuzzy time series time variant, fuzzy membership grade fuzzy logical relations, fuzzy relation. |
title | Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time Series |
title_full | Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time Series |
title_fullStr | Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time Series |
title_full_unstemmed | Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time Series |
title_short | Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time Series |
title_sort | rainfall forecast in different methods of trend equations by fuzzy time series |
topic | predicting rainfall, fuzzy time series time variant, fuzzy membership grade fuzzy logical relations, fuzzy relation. |
url | http://eiris.it/ojs/index.php/ratiomathematica/article/view/1011 |
work_keys_str_mv | AT drajan rainfallforecastindifferentmethodsoftrendequationsbyfuzzytimeseries AT rsugunthakunthalambigai rainfallforecastindifferentmethodsoftrendequationsbyfuzzytimeseries |