Fuzzy logic provides a mathematical framework for dealing with imprecise and vague concepts, proving particularly amenable to the challenges posed by natural language. Its capacity to navigate ...

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 ...

Zadeh had observed that conventional computer logic couldn’t manipulate data that represented subjective or vague ideas, so he created fuzzy logic to allow computers to determine the distinctions ...

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...