A Novel Stochastic Fuzzy Time Series Forecasting Model Based on a New Partition Method
Fuzzy Time Series (FTS) models are commonly used in time series forecasting, where they do not require any statistical assumptions on time series data. FTS models can handle data sets with a small number of observations or with uncertainty. This is a general advantage of FTS as compared with other t...
| Main Authors: | Alyousifi, Y., Othman, M., Almohammedi, A.A. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29531 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107174550&doi=10.1109%2fACCESS.2021.3084048&partnerID=40&md5=53781d9da8bb03bde7dbc21f685bb6a2 http://eprints.utp.edu.my/29531/ |
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