A new hybrid fuzzy time series model with an application to predict PM10 concentration

• Main Authors: Alyousifi, Y., Othman, M., Husin, A., Rathnayake, U.
• Format: Article
• Published: Academic Press 2021
• 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/

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...