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Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah

Fuzzy time series forecasting is one method used to forecast in certain reality problems. The research on fuzzy time series forecasting has been increased due to its capability in dealing with vagueness and uncertainty. In this paper, we are dealing with implementation of revised heuristic knowledge...

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Main Authors: Lasaraiya, Suriana, Zenian, Suzelawati, Mat Hasim, Risman, Ashaari, Azmirul
Format: Article
Language:English
Published: The Science and Information Organization 2023
Online Access:http://psasir.upm.edu.my/id/eprint/108687/1/108687.pdf
http://psasir.upm.edu.my/id/eprint/108687/
https://thesai.org/Publications/ViewPaper?Volume=14&Issue=4&Code=IJACSA&SerialNo=22
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spelling my.upm.eprints.1086872024-10-21T02:03:32Z http://psasir.upm.edu.my/id/eprint/108687/ Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah Lasaraiya, Suriana Zenian, Suzelawati Mat Hasim, Risman Ashaari, Azmirul Fuzzy time series forecasting is one method used to forecast in certain reality problems. The research on fuzzy time series forecasting has been increased due to its capability in dealing with vagueness and uncertainty. In this paper, we are dealing with implementation of revised heuristic knowledge to basic average-based interval and showing that these models forecast better than the basic one. We suggest three different lengths of interval, size 5, size 10 and size 20 to be used in comparing these models of average-based interval, average-based interval with implementation of heuristic knowledge and, average-based interval with implementation of revised heuristic knowledge. These models applied to forecast the number of tuberculosis cases reported monthly in Sabah starting from January 2012 until December 2019. A few numerical examples are shown as well. The performances of evaluations are shown by comparison on the values obtained by Mean Square error (MSE) and Root Mean Square Error (RMSE). The Science and Information Organization 2023 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/108687/1/108687.pdf Lasaraiya, Suriana and Zenian, Suzelawati and Mat Hasim, Risman and Ashaari, Azmirul (2023) Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah. International Journal of Advanced Computer Science and Applications, 14 (4). pp. 190-196. ISSN 2158-107X; eISSN: 2156-5570 https://thesai.org/Publications/ViewPaper?Volume=14&Issue=4&Code=IJACSA&SerialNo=22 10.14569/ijacsa.2023.0140422
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Fuzzy time series forecasting is one method used to forecast in certain reality problems. The research on fuzzy time series forecasting has been increased due to its capability in dealing with vagueness and uncertainty. In this paper, we are dealing with implementation of revised heuristic knowledge to basic average-based interval and showing that these models forecast better than the basic one. We suggest three different lengths of interval, size 5, size 10 and size 20 to be used in comparing these models of average-based interval, average-based interval with implementation of heuristic knowledge and, average-based interval with implementation of revised heuristic knowledge. These models applied to forecast the number of tuberculosis cases reported monthly in Sabah starting from January 2012 until December 2019. A few numerical examples are shown as well. The performances of evaluations are shown by comparison on the values obtained by Mean Square error (MSE) and Root Mean Square Error (RMSE).
format Article
author Lasaraiya, Suriana
Zenian, Suzelawati
Mat Hasim, Risman
Ashaari, Azmirul
spellingShingle Lasaraiya, Suriana
Zenian, Suzelawati
Mat Hasim, Risman
Ashaari, Azmirul
Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah
author_facet Lasaraiya, Suriana
Zenian, Suzelawati
Mat Hasim, Risman
Ashaari, Azmirul
author_sort Lasaraiya, Suriana
title Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah
title_short Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah
title_full Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah
title_fullStr Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah
title_full_unstemmed Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah
title_sort implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in sabah
publisher The Science and Information Organization
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/108687/1/108687.pdf
http://psasir.upm.edu.my/id/eprint/108687/
https://thesai.org/Publications/ViewPaper?Volume=14&Issue=4&Code=IJACSA&SerialNo=22
_version_ 1814054662793330688
score 13.211869

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