We address the problem of system reliability prediction, based on an available series of
failure time data. We consider support vector regression (SVR) as solution approach, for its …

Two models for the forecasting of the triangular fuzzy-number (TF) series are presented in
this paper. One is the triangular fuzzy-number grey model (TFGM (1, 1)). In this model, the …

In this paper, a new method to perform the times series prediction using modular neural
networks with type-1 fuzzy logic integration is proposed. The proposed method consists in …

Type‐2 (T2) fuzzy set was introduced to model vagueness associated with primary
membership function of type‐1 (T1) fuzzy set. While it was invented to handle more fuzzy …

The autoregressive integrated moving average (ARIMA)–backpropagation (BP) integrated
intelligent algorithm for consumer price index (CPI) forecasting was designed based on the …

When time series are generated by chaotic systems, a reasonable estimation of large
prediction horizons is hard to obtain, but this may be required by some applications. Over …

The type-2 fuzzy set (T2FS) is introduced to circumvent the limitations of the type-1 fuzzy set
(T1FS). The main characteristic of type-2 fuzzy logic controller (T2FLC) is that, its …

In this paper, a comprehensive survey on various applications of Type-2 Fuzzy Logic has
been carried out. GPU (Graphics Processing Units) is used for speed up purpose, otherwise …

The type-2 fuzzy set (T2FS) is introduced to circumvent the limitations of the type-1 fuzzy set
(T1FS). The main characteristic of type-2 fuzzy logic controller (T2FLC) is that, its …

Long-term prediction of time series from chaotic systems is a difficult task but required in
various fields such as economics, medicine, government, etc. In recent years, several …