relation: https://khub.utp.edu.my/scholars/10214/
title: The effect of interval length in weighted subsethood fuzzy time series
creator: Mansor, R.
creator: Zaini, B.J.
creator: Othman, M.
creator: Kasim, M.M.
description: Fuzzy time series has received increasing intentions since the first definition of fuzzy time series was introduced in 1993 by Song and Chissom. Then many studies proposed new fuzzy time series models. One of the steps in developing fuzzy time series model is partitioning the universe of discourse into different lengths of intervals. However, the performance of fuzzy time series model can be affected by interval length factor. Therefore, the objective of this study is to investigate the performance of Weighted Subsethood fuzzy time series model with different lengths of interval. By using the familiar data in fuzzy time series study, the historical enrollments of University of Alabama data, seven different number of interval cases were generated. The results show that partitioning the data into four intervals has the minimum forecasting error. © 2018 Author(s).
publisher: American Institute of Physics Inc.
date: 2018
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Mansor, R. and Zaini, B.J. and Othman, M. and Kasim, M.M.  (2018) The effect of interval length in weighted subsethood fuzzy time series.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049784637&doi=10.1063%2f1.5041691&partnerID=40&md5=83427ee2ac27088f28d2764187ce285f
relation: 10.1063/1.5041691
identifier: 10.1063/1.5041691