Type-2 fuzzy SARIMA system for real-valued uncertain non-stationary data-intensive seasonal time series.
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.
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.
ISBN : 9781467358651