Interval estimation of forecasting value by using trapezoidal fuzzy number

One of the major highlights of the fuzzy time series forecasting model is that it only provides one single point forecasted value, as in the traditional time series methods. One of the major highlights of the fuzzy time series forecasting model is that it only provides one single point forecasted va...

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Main Authors: Suriana Lasaraiya, Suzelawati Zenian, Risman Mat Hasim
Format: Proceedings
Language:English
English
Published: Pusat e-pembelajaran, UMS 2022
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/41234/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41234/2/FULL%20TEXT.pdf
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author Suriana Lasaraiya
Suzelawati Zenian
Risman Mat Hasim
author_facet Suriana Lasaraiya
Suzelawati Zenian
Risman Mat Hasim
author_sort Suriana Lasaraiya
collection UMS
description One of the major highlights of the fuzzy time series forecasting model is that it only provides one single point forecasted value, as in the traditional time series methods. One of the major highlights of the fuzzy time series forecasting model is that it only provides one single point forecasted value, as in the traditional time series methods. Besides, most of the models use triangular fuzzy numbers in their methods. The aim of this paper is to show that the forecasted value will be a trapezoidal fuzzy number in interval form instead of a single-point value. In our case, we applied tuberculosis cases collected in Sabah to examine this method. Two numerical data sets from the whole tuberculosis data set were used to illustrate the chosen methods.
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spelling ums.eprints-412342024-10-03T07:11:57Z https://eprints.ums.edu.my/id/eprint/41234/ Interval estimation of forecasting value by using trapezoidal fuzzy number Suriana Lasaraiya Suzelawati Zenian Risman Mat Hasim Q1-390 Science (General) QA1-939 Mathematics One of the major highlights of the fuzzy time series forecasting model is that it only provides one single point forecasted value, as in the traditional time series methods. One of the major highlights of the fuzzy time series forecasting model is that it only provides one single point forecasted value, as in the traditional time series methods. Besides, most of the models use triangular fuzzy numbers in their methods. The aim of this paper is to show that the forecasted value will be a trapezoidal fuzzy number in interval form instead of a single-point value. In our case, we applied tuberculosis cases collected in Sabah to examine this method. Two numerical data sets from the whole tuberculosis data set were used to illustrate the chosen methods. Pusat e-pembelajaran, UMS 2022 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/41234/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41234/2/FULL%20TEXT.pdf Suriana Lasaraiya and Suzelawati Zenian and Risman Mat Hasim (2022) Interval estimation of forecasting value by using trapezoidal fuzzy number. https://oer.ums.edu.my/handle/oer_source_files/2441
spellingShingle Q1-390 Science (General)
QA1-939 Mathematics
Suriana Lasaraiya
Suzelawati Zenian
Risman Mat Hasim
Interval estimation of forecasting value by using trapezoidal fuzzy number
title Interval estimation of forecasting value by using trapezoidal fuzzy number
title_full Interval estimation of forecasting value by using trapezoidal fuzzy number
title_fullStr Interval estimation of forecasting value by using trapezoidal fuzzy number
title_full_unstemmed Interval estimation of forecasting value by using trapezoidal fuzzy number
title_short Interval estimation of forecasting value by using trapezoidal fuzzy number
title_sort interval estimation of forecasting value by using trapezoidal fuzzy number
topic Q1-390 Science (General)
QA1-939 Mathematics
url https://eprints.ums.edu.my/id/eprint/41234/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41234/2/FULL%20TEXT.pdf
work_keys_str_mv AT surianalasaraiya intervalestimationofforecastingvaluebyusingtrapezoidalfuzzynumber
AT suzelawatizenian intervalestimationofforecastingvaluebyusingtrapezoidalfuzzynumber
AT rismanmathasim intervalestimationofforecastingvaluebyusingtrapezoidalfuzzynumber