Type-2 fuzzy SARIMA system for real-valued uncertain non-stationary data-intensive seasonal time series.

dc.contributor.authorWang, Yuyingen
dc.contributor.authorJohn, Robert, 1955-en
dc.date.accessioned2015-08-17T10:33:18Z
dc.date.available2015-08-17T10:33:18Z
dc.date.issued2013
dc.description.abstractFollowing the concepts of Mpdf and ˜ J-plane, in this paper, the authors propose a new Type-2 Fuzzy ProbabilisticSystem - Type-2 Fuzzy SARIMA System for real-valued uncertain non-stationary data-intensive seasonal time series forecasting. The system is implemented in Wireless Soft-Switch (WSS) communication network CAPS forecasting and is compared with the statistical model SARIMA to show that Type-2 Fuzzy SARIMA System can forecast real-valued uncertain non-stationary data intensive seasonal time series more accurately, timely, along with the infinite maximum supported seasonality and less errors. As the series of algorithms and results prove, Type-2 Fuzzy Probabilistic System is viable in practice, which realises Type-2 Fuzzy Logic Systems evolving from rule-based fuzzy systems to the systems based on Type-2 Fuzzy Probabilistic Model.en
dc.funderN/Aen
dc.identifier.citationWang, Y. and John, R. (2013) Type-2 fuzzy SARIMA system for real-valued uncertain non-stationary data-intensive seasonal time series. In: 2013 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), pp. 31-38.en
dc.identifier.doihttps://doi.org/10.1109/t2fzz.2013.6613296
dc.identifier.isbn9781467358651
dc.identifier.urihttp://hdl.handle.net/2086/11147
dc.language.isoenen
dc.projectidN/Aen
dc.publisherIEEEen
dc.subjectType-2 fuzzy setsen
dc.titleType-2 fuzzy SARIMA system for real-valued uncertain non-stationary data-intensive seasonal time series.en
dc.typeBook chapteren

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