T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap

Fuzzy time series has been used to model observations that contain multiple values. This paper proposes the t-norm of Yager class of subsethood defuzzification to forecast university enrolments based on fuzzy time series and the data of historical enrolments which are adopted from Song and Chissom (...

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Main Authors: Ramli, Nazirah, Md. Tap, Abu Osman
Format: Article
Language:English
Published: Universiti Teknologi MARA Cawangan Pahang 2006
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/35954/1/35954.PDF
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author Ramli, Nazirah
Md. Tap, Abu Osman
author_facet Ramli, Nazirah
Md. Tap, Abu Osman
author_sort Ramli, Nazirah
collection UITM
description Fuzzy time series has been used to model observations that contain multiple values. This paper proposes the t-norm of Yager class of subsethood defuzzification to forecast university enrolments based on fuzzy time series and the data of historical enrolments which are adopted from Song and Chissom (1994). The proposed method applied seven and ten interval with equal length and the max-product and max-min as the composition operator in the fuzzy relations F(t)= F(t-l)oR(t,t-l). The result shows that the t-norm of Yager class of subsethood defuzzification models with (10, max-product) is the best forecasting method in terms of accuracy. The proposed method has also improved the forecasting results by previous researchers.
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spelling oai:ir.uitm.edu.my:359542022-09-23T00:19:27Z https://ir.uitm.edu.my/id/eprint/35954/ T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap gading Ramli, Nazirah Md. Tap, Abu Osman Fuzzy arithmetic Error analysis (Mathematics). Theory of errors. Least squares Problems, exercises, etc. Fuzzy time series has been used to model observations that contain multiple values. This paper proposes the t-norm of Yager class of subsethood defuzzification to forecast university enrolments based on fuzzy time series and the data of historical enrolments which are adopted from Song and Chissom (1994). The proposed method applied seven and ten interval with equal length and the max-product and max-min as the composition operator in the fuzzy relations F(t)= F(t-l)oR(t,t-l). The result shows that the t-norm of Yager class of subsethood defuzzification models with (10, max-product) is the best forecasting method in terms of accuracy. The proposed method has also improved the forecasting results by previous researchers. Universiti Teknologi MARA Cawangan Pahang 2006 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/35954/1/35954.PDF T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap. (2006) Jurnal Gading UiTM Pahang <https://ir.uitm.edu.my/view/publication/Jurnal_Gading_UiTM_Pahang/>, 10 (2). pp. 1-11. ISSN 0128-5599
spellingShingle Fuzzy arithmetic
Error analysis (Mathematics). Theory of errors. Least squares
Problems, exercises, etc.
Ramli, Nazirah
Md. Tap, Abu Osman
T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap
title T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap
title_full T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap
title_fullStr T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap
title_full_unstemmed T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap
title_short T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap
title_sort t norm of yager class of subsethood defuzzification improving enrolment forecast in fuzzy time series nazirah ramli and abu osman md tap
topic Fuzzy arithmetic
Error analysis (Mathematics). Theory of errors. Least squares
Problems, exercises, etc.
url https://ir.uitm.edu.my/id/eprint/35954/1/35954.PDF
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