The artists in the exhibition each engage with slippage and translation. Things point to things, but the index is scrambled; ...

Type-2 fuzzy logic systems have emerged as a powerful extension of traditional fuzzy logic, providing enhanced capability to model uncertainty and imprecision in complex systems. Unlike type-1 systems ...

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 ...

Fuzzy automata and transition systems extend classical automata theory by incorporating degrees of uncertainty and imprecision inherent in many real-world processes. Unlike their crisp counterparts, ...

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 ...

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 ...

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 ...

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 ...