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 ...

Researchers from the Zhengzhou University in China have created a new electrical fault detection system for PV systems by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) methodology, which is ...

A group of researchers in Tunisia and Algeria show how fuzzy logic has helped them create an ideal photovoltaic system that obeys the supply-and-demand principle and its delicate balance. They have ...

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 ...

(Nanowerk Spotlight) Logic gates, especially Boolean logic gates, are the fundamental building blocks of today's computers built with silicon-based circuitry; without them, digital information could ...

Researchers from Comsats University Islamabad in Pakistan and China’s Hohai University have demonstrated a new maximum power point tracking (MTTP) technique that's based on a fuzzy logic algorithm and ...

Bank fraud and money laundering are big business for criminals and big headaches for financial institutions. Fraud losses run into billions of dollars every year. Verafin is putting a dent in those ...