Type-2 fuzzy SARIMA system for real-valued uncertain non-stationary data-intensive seasonal time series.
dc.contributor.author | Wang, Yuying | en |
dc.contributor.author | John, Robert, 1955- | en |
dc.date.accessioned | 2015-08-17T10:33:18Z | |
dc.date.available | 2015-08-17T10:33:18Z | |
dc.date.issued | 2013 | |
dc.description.abstract | Following 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.funder | N/A | en |
dc.identifier.citation | Wang, 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.doi | https://doi.org/10.1109/t2fzz.2013.6613296 | |
dc.identifier.isbn | 9781467358651 | |
dc.identifier.uri | http://hdl.handle.net/2086/11147 | |
dc.language.iso | en | en |
dc.projectid | N/A | en |
dc.publisher | IEEE | en |
dc.subject | Type-2 fuzzy sets | en |
dc.title | Type-2 fuzzy SARIMA system for real-valued uncertain non-stationary data-intensive seasonal time series. | en |
dc.type | Book chapter | en |
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