Real world environments are characterized by high levels of linguistic and numerical uncertainties. Recently, interval type-2 Fuzzy Logic Systems (FLSs) appeared as an attractive mechanism to handle ...

By Michel Ruel<br /> Track: Control Performance<br /> Fuzzy logic control is used when an experienced operator has better control over a process than a PID or a MPC controller. This paper presents a ...

The paper presents numerical methodology for the stability analysis of a fuzzy control system. The fuzzy control system analyzed is a closed-loop system controlled by a fuzzy logic controller (FLC) ...

Fuzzy logic inference was handled via the scikit-fuzzy (skfuzzy) library, which provided tools for defining fuzzy variables, membership functions, and rule application (Pedregosa et al., 2011). To ...

For example, a climate control system might use Fuzzy Logic to adjust temperature and humidity based on a variety of input variables, like room size, occupancy, and external weather conditions.

Meaning, when the fuzzy logic gives output, it doesn't give a specific answer, rather it provide various range of answer each with its own impotance level. For example, the fuzzy output might say the ...

For example, the adaptation of artificial neural networks to the fuzzy environment has enabled the conversion of these integral equations into systems amenable to standard numerical solutions ...

Explore the numerical solution of two-order fuzzy linear differential equations through decentralized conversion. Obtain the solution by calculating the fuzzy differential equation and verify its ...