RIT2FIS : a recurrent interval type 2 Fuzzy Inference System and its rule base estimation
Two of the major challenges associated with time series modelling are handling uncertainty present in the data and tracing its dynamical behaviour. A Recurrent Interval Type 2 Fuzzy Inference System or RIT2FIS is presented in this paper. RIT2FIS adopts an interval type 2 fuzzy inference mechanis...
Main Authors: | Samanta, Subhrajit, Hartanto, Andre, Pratama, Mahardhika, Sundaram, Suresh, Srikanth, Narasimalu |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/106766 http://hdl.handle.net/10220/49775 |
Similar Items
-
Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system
by: Anh, Nguyen, et al.
Published: (2021) -
A Meta-cognitive Recurrent Fuzzy Inference System with Memory Neurons (McRFIS-MN) and its fast learning algorithm for time series forecasting
by: Samanta, Subhrajit, et al.
Published: (2020) -
Wave forecasting using meta-cognitive interval type-2 fuzzy inference system
by: Anh, Nguyen, et al.
Published: (2019) -
Wind speed intervals prediction using meta-cognitive approach
by: Anh, Nguyen, et al.
Published: (2019) -
An integrated LSTM-rule-based fusion method for the localization of intelligent vehicles in a complex environment
by: Yuan, Quan, et al.
Published: (2024)