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 ...

Probably, we all agree that we should not see the world in black and white. One of our most important abilities as human beings, which separates us from machines, is the ability to see events as ...

The interplay between algebraic structures and fuzzy logic has fostered significant advancements in both theoretical research and practical applications. Algebraic structures provide a rigorous ...

Fuzzy Logic is a type of artificial intelligence (AI) that's designed to handle uncertainty and imprecision. Fuzzy Logic allows for the representation of vague concepts and the handling of incomplete ...

Fuzzy set theory, an extension of classical set theory, provides a mathematical framework for handling uncertainty and imprecision. This paper provides some key properties of fuzzy sets, emphasizing ...

This article is published by AllBusiness.com, a partner of TIME. Fuzzy logic is a form of logic that extends traditional boolean logic by allowing for degrees of truth, rather than just true or false.

The Line Following Robot project demonstrates the use of a Fuzzy Logic Controller (FLC) to control a two-wheel differential drive robot that follows a line. The robot uses sensors to detect the line ...

Fuzzy logic finds a wide variety of contemporary applications ranging from self‐driving vehicles, the manufacture of cement, to the control of high‐speed trains or auto‐focus cameras. Early ...

Abstract: Due to its intrinsic complexity, medical diagnosis presents a challenge to typical computational methods due to its wide range of variables, uncertainties, and imprecise information. In ...