A hybrid fuzzy time series forecasting model with 4253HT smoother

Link to publisher's homepage at https://amci.unimap.edu.my/

Saved in:
Bibliographic Details
Main Authors: Nik Muhammad Farhan Hakim, Nik Badrul Alam, Nazirah, Ramli, Adie Safian, Ton Mohamed, Noor Izyan, Mohamad Adnan
Other Authors: farhanhakim@uitm.edu.my
Format: Article
Language:English
Published: Institute of Engineering Mathematics, Universiti Malaysia Perlis 2023
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77658
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-77658
record_format dspace
spelling my.unimap-776582023-01-12T03:48:34Z A hybrid fuzzy time series forecasting model with 4253HT smoother Nik Muhammad Farhan Hakim, Nik Badrul Alam Nazirah, Ramli Adie Safian, Ton Mohamed Noor Izyan, Mohamad Adnan Nik Muhammad Farhan Hakim, Nik Badrul Alam farhanhakim@uitm.edu.my School of Mathematics, Actuarial and Quantitative Studies, Asia Pacific University of Technology and Innovation, Malaysia Mathematical Sciences Studies, College of Computing, Informatics and Media, Universiti Teknologi MARA (UiTM) Pahang Branch School of Mathematics, Actuarial and Quantitative Studies, Asia Pacific University of Technology and Innovation Fuzzy time series 4253HT smoother Students’ enrolment Time series forecasting Link to publisher's homepage at https://amci.unimap.edu.my/ Forecasting time series data is crucial for predicting upcoming observations, especially in the market and business. Proper actions can be taken when there are some figures on future data, which are predicted based on the previous data. The fusion of fuzzy time series in forecasting has made forecasting using linguistic variables possible. However, the existence of extreme values in the time series data has led to inaccurate forecasting since the values are too large or too small. Hence, this paper proposes a hybrid fuzzy time series forecasting model with the 4253HT smoother to reduce the uncertainty of data. In this study, students’ enrolment data at the University of Alabama are implemented to illustrate the proposed hybrid forecasting model. The results show that the proposed model improves the forecasting performance since the mean square, root mean square, and mean absolute errors have been reduced. In the future, the implementation of data smoothing using the 4253HT smoother can be used in other fuzzy time series and intuitionistic fuzzy time series forecasting models. 2023-01-12T03:48:34Z 2023-01-12T03:48:34Z 2022-12 Article Applied Mathematics and Computational Intelligence (AMCI), vol.11(1), 2022, pages 325-335 2289-1315 (print) 2289-1323 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77658 https://amci.unimap.edu.my/ en Institute of Engineering Mathematics, Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Fuzzy time series
4253HT smoother
Students’ enrolment
Time series forecasting
spellingShingle Fuzzy time series
4253HT smoother
Students’ enrolment
Time series forecasting
Nik Muhammad Farhan Hakim, Nik Badrul Alam
Nazirah, Ramli
Adie Safian, Ton Mohamed
Noor Izyan, Mohamad Adnan
Nik Muhammad Farhan Hakim, Nik Badrul Alam
A hybrid fuzzy time series forecasting model with 4253HT smoother
description Link to publisher's homepage at https://amci.unimap.edu.my/
author2 farhanhakim@uitm.edu.my
author_facet farhanhakim@uitm.edu.my
Nik Muhammad Farhan Hakim, Nik Badrul Alam
Nazirah, Ramli
Adie Safian, Ton Mohamed
Noor Izyan, Mohamad Adnan
Nik Muhammad Farhan Hakim, Nik Badrul Alam
format Article
author Nik Muhammad Farhan Hakim, Nik Badrul Alam
Nazirah, Ramli
Adie Safian, Ton Mohamed
Noor Izyan, Mohamad Adnan
Nik Muhammad Farhan Hakim, Nik Badrul Alam
author_sort Nik Muhammad Farhan Hakim, Nik Badrul Alam
title A hybrid fuzzy time series forecasting model with 4253HT smoother
title_short A hybrid fuzzy time series forecasting model with 4253HT smoother
title_full A hybrid fuzzy time series forecasting model with 4253HT smoother
title_fullStr A hybrid fuzzy time series forecasting model with 4253HT smoother
title_full_unstemmed A hybrid fuzzy time series forecasting model with 4253HT smoother
title_sort hybrid fuzzy time series forecasting model with 4253ht smoother
publisher Institute of Engineering Mathematics, Universiti Malaysia Perlis
publishDate 2023
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77658
_version_ 1772813081614745600
score 13.222552