A new hybrid fuzzy time series model with an application to predict PM10 concentration
Fuzzy time series (FTS) forecasting models show a great performance in predicting time series, such as air pollution time series. However, they have caused major issues by utilizing random partitioning of the universe of discourse and ignoring repeated fuzzy sets. In this study, a novel hybrid forec...
| Main Authors: | Alyousifi, Y., Othman, M., Husin, A., Rathnayake, U. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29573 / |
| Published: |
Academic Press
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117954095&doi=10.1016%2fj.ecoenv.2021.112875&partnerID=40&md5=31d7ea5f418f2c048513d5243ac8cdad http://eprints.utp.edu.my/29573/ |
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