This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …

The problem of adaptive fuzzy control is investigated for a class of nontriangular structural
stochastic switched nonlinear systems with full state constraints in this paper. A remarkable …

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

A deep convolutional fuzzy system (DCFS) on a high-dimensional input space is a multilayer
connection of many low-dimensional fuzzy systems, where the input variables to the low …

This paper presents an automatic way of evolving hierarchical Takagi-Sugeno fuzzy systems
(TS-FS). The hierarchical structure is evolved using probabilistic incremental program …

Hierarchical fuzzy systems (HFSs) are successfully applied to control systems and computer
networks. Particularly, correction factor is introduced to regulate fuzzy rules and alleviate the …

A reduction in the time-to-market has led to widespread use of pre-designed parametric
architectural solutions known as system-on-a-chip (SoC) platforms. A system designer has …

Hierarchical fuzzy systems have been an increasingly prevalent research topic, however,
most of them are with fixed structures. This could reduce the flexibility of the method in …

This book introduces the novel concept of a fuzzy network. In particular, it describes further
developments of some results from its predecessor book on Complexity Management in …

Doing research is a great adventure As any adventure sometimes it is hard You may feel
alone and with no idea where to go But if you have courage and press onwards You will …