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 ...

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 ...

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 ...

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 ...

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 ...

The transport/diffusion system considering the control of tracer concentration in a tubular reactor with relevant transport delay is widely used in the area of environmental engineering. They are ...

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 ...

By operating in the gray zone, states preserve escalation optionality, avoid reputation-locking commitments, and retain the ability to shift posture without incurring sudden political or strategic ...

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 ...