type-2 fuzzy sets

Type-2 fuzzy sets are an advanced concept in fuzzy logic that allows for a more nuanced representation of uncertainty. Unlike traditional fuzzy sets, which have a single degree of membership (like 0.5 meaning "somewhat true"), Type-2 fuzzy sets allow for a range of memberships for each element, indicating varying levels of uncertainty. This is useful in complex situations where an exact boundary is unclear, such as in human decision-making or real-world measurements. By incorporating this additional layer of uncertainty, Type-2 fuzzy sets provide a more flexible and realistic way to model ambiguous information.