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 ...

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 ...

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 ...

Scientists in Pakistan have developed a fuzzy reconfiguration method that can reportedly mitigate power losses due to shading and hotspot faults by up to 23.5% compared to conventional techniques. The ...

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 ...

The evolution of the diagnostic equipment for automotive application is the direct effect of the implementation of sophisticated and high technology control systems in the new generation of passenger ...

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 ...