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 ...

Fuzzy neural networks and systems represent a synergistic integration of fuzzy logic and artificial neural networks, aiming to encapsulate human-like reasoning within powerful learning frameworks. By ...

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 ...

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 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 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 ...

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 ...

The Google Doodle for today, November 30, honors Lotfi Zadeh, the late Azerbaijani American computer scientist who developed the innovative mathematical framework known as "fuzzy logic." On this day ...

Fuzzy logic looks beyond traditional logic and the binary duality of true and false, or one and zero. Within fuzzy logic, something can be partially true; it recognizes a spectrum and gradient of ...