Fuzzy inference systems (FIS) provide a robust framework for managing uncertainty and imprecision in a variety of applications, from control systems to decision making. At their core, FIS utilise ...

The model and controllers will add new knowledge for the use of the twisted and coiled polymer muscle in mechatronic system. The main contribution of “Control of TCP muscles using Takagi–Sugeno–Kang ...

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 ...

Cultural heritage conservation has long struggled with the balance between preserving historical authenticity and embracing ...

The need for accurate forecasts has increased in recent years but there has as yet been limited research on carbon emissions price trends. This study uses the adaptive neuro-fuzzy inference system ...