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 ...

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 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 imprecise data and problems that have many solutions rather than one. Although it is implemented in digital computers which ultimately make only yes-no ...

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 ...

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 ...

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 ...