Complex fuzzy logic systems represent a significant evolution of classical fuzzy theory by assigning each element a complex-valued membership degree, incorporating both amplitude and phase. This ...

We tend to think that artificial intelligence views everything in a coldly logical, binary way, but by making A.I. a little “fuzzier,” the same system can be used to treat patients with bipolar ...

Identifying cancer cells in a medical image and altering the trajectory of airplanes at take-off and landing to reduce noise pollution are just two of the goals of new research projects based on the ...

The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been ...

Academics have developed a maximum power point tracking (MPPT) algorithm for PV systems that combines incremental conductance with fuzzy logic control. The inputs used are the sum of conductance and ...

The use of intelligent systems is growing rapidly. One of these is the Neuro-Fuzzy System. It is the result in a hybrid intelligent system that synergizes two techniques. Provide two possible ...

Innovative design continues to exploit the power of neural and related techniques. Always more popular with Japanese and Pacific Rim consumer-product designers, fuzzy logic did not catch on to the ...

A mathematical technique for dealing with imprecise data and problems that have many solutions rather than one. Although it is implemented in digital computers which ultimately make only yes-no ...

Engineers are increasingly merging AI techniques with fuzzy logic to create adaptive, explainable, and reliable control systems. From robotics to renewable energy, hybrid architectures combine ...

The digital computing world is built on a structure of Boolean logic applied to binary values — one or zero, yes or no, in or out. But this powerful structure is a gross oversimplification of the real ...