Fuzzy rule-based systems (FRBSs) is a rule-based system which uses linguistic fuzzy
variables as antecedents and consequent to represent human-understandable knowledge …

In this article some aspects of fuzzy modeling are discussed in connection with nonlinear
system identification and control design. Methods for constructing fuzzy models from process …

Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …

Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling
of partly-known nonlinear systems. Fuzzy models can effectively integrate information from …

Belief rule base (BRB) expert system has been widely used in complex system modeling.
Robustness is crucial to the modeling performance and safety of BRB. For a better …

Co** with uncertainty in dynamical systems has recently received some attention in
artificial intelligence (AI), particularly in the fields of qualitative and model-based reasoning …

From the Publisher:" The emerging, powerful fuzzy control paradigm has led to the
worldwide success of countless commercial products and real-world applications. Fuzzy …

In this correspondence, an online sequential fuzzy extreme learning machine (OS-fuzzy-
ELM) has been developed for function approximation and classification problems. The …

In this letter, the hierarchical fuzzy systems are analyzed and designed. In the analysis part,
we prove that the hierarchical fuzzy systems are universal approximators and analyze the …

Takagi-Sugeno (TS) fuzzy systems have been employed as fuzzy controllers and fuzzy
models in successfully solving difficult control and modeling problems in practice. Virtually …