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 ...

Type-2 fuzzy logic systems extend conventional fuzzy logic by allowing uncertainty about membership values themselves to be modelled as fuzzy sets. This higher-order treatment captures a wider ...

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 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 ...

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 ...

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, ...

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 system, called F2IND-IT! (fuzzy fake Indian news detection using images and text), was described in a recent paper ...

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 ...