Fuzzy logic offers a framework for reasoning under uncertainty by extending classical Boolean logic to accommodate partial truth values represented by real numbers between zero and one. This paradigm ...

Fuzzy logic control has emerged as a versatile approach to managing the inherent nonlinearities and uncertainties of photovoltaic (PV) energy conversion. By translating physical variables such as ...

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 ...

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 ...

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 ...

A mathematical technique for dealing with problems that have many solutions. Although fuzzy logic is implemented in digital computers which make only yes-no decisions, it works with ranges of values, ...

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 ...

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 ...