The library for working with fuzzy logic in python. This library was developed with simplicity and independability in mind. The main idea was to use functional approach as the basis of the fuzzy logic ...

The aim of the fuzzy logic controller application was to effectively handle nonlinear systems by using linguistic variables and fuzzy rules to approximate the behavior of the system. This allows for ...

We present JuzzyPy, a Python based fuzzy logic toolkit enabling the creation of type-1, interval type-2, and general type-2 fuzzy logic systems. Fuzzy logic systems are being applied in disciplines ...

Fuzzy Logic for Python 3 This is the fourth time I rebuilt this library from scratch to find the sweet spot between ease of use (beautiful is better than ugly!), testability (simple is better than ...

Fuzzy sliding mode control of a single DOF AMB system was presented in a study by Qin et al. (2011), where the tracking problem was effectively tackled. The reference tracking of the rotor was first ...

Mobile applications in the area of human-centered applications are based on fuzzy logic have exhibited their effectiveness in managing intelligent environments, however the deployment of mobile fuzzy ...