In many engineering problems, the systems dynamics are uncertain, and then, the accurate
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …

This article providesa systematic approach for the design of an interval type-3 (IT3) Takagi–
Sugeno (T–S) fuzzy logic system (FLS) using-plane representation. An IT3 FLS is designed …

A novel hybrid intelligent approach for tuning the parameters of Interval Type-2 Intuitionistic
Fuzzy Logic System (IT2IFLS) is introduced for the modeling and prediction of coronavirus …

Particle swarm optimisation algorithm (PSO) possesses a strong exploitation capability due
to its fast search speed. It, however, suffers from an early convergence leading to its inability …

Precise monitoring, diagnosis, and control of subtractive machines like turning centers are
challenging tasks in automated manufacturing industries. To identify the failures in a …

Fuzzy logic-based systems are nowadays commonly used in nonlinear function
approximation when incoming data are available. Their main advantage is that the resulting …

There has been great interest in developing hierarchical structures of fuzzy rule-based
systems due to their flexibility allowing to model complex problems. To cope with the high …

With the continuous expansion and innovations in modern software development, the rate at
which defects are present in software is directly proportional to how sophisticated and …

In this study, a Takagi-Sugeno-Kang based intuitionistic fuzzy logic system is proposed for
the prediction of global carbon dioxide emission for the first time. The intuitionistic fuzzy logic …