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 ...

Type-2 fuzzy sets extend the classical concept of fuzzy sets by allowing the membership grade itself to be a fuzzy set. This extension provides a richer mathematical framework for representing ...

A Mamdani-type Fuzzy Inference System (FIS) designed in MATLAB to control the temperature of a simulated electric furnace. This project was developed as the final exam project for an Introductory To ...

Abstract: Fuzzy time series forecasting has gained significant attention due to its ability to handle uncertainty and imprecise data, making it widely applicable in weather prediction, financial ...