Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Predicting a chaotic time series using a fuzzy neural network
Information Sciences: an International Journal
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Evolving fuzzy neural networks for supervised/unsupervised onlineknowledge-based learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Data-driven linguistic modeling using relational fuzzy rules
IEEE Transactions on Fuzzy Systems
A hybrid linear-neural model for time series forecasting
IEEE Transactions on Neural Networks
Linearity testing for fuzzy rule-based models
Fuzzy Sets and Systems
Equivalences between neural-autoregressive time series models and fuzzy systems
IEEE Transactions on Neural Networks
Testing for heteroskedasticity of the residuals in fuzzy rule-based models
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters
Applied Intelligence
A linguistic approach to time series modeling with the help of F-transform
Fuzzy Sets and Systems
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Expert Systems with Applications: An International Journal
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In this work we will explore the theoretical connections existing between fuzzy rule-based systems (FRBS) applied on univariate time series and two statistical reference tools, the autoregressive (AR) models and the smooth transition autoregressive (STAR) model. We will show that a TSK fuzzy rule happens to be a localised AR model and that a STAR model can hence be interpreted as a restricted FRBS. Several consequences derive from this fact, and we will explore some of them, including a statistical inference-based procedure to incrementally build FRBS or the linguistic interpretation of STAR models. Finally an econometric example is given to illustrate the core idea.