Fuzzy Sets

Fuzzy sets are a way to handle uncertainty and vagueness in classification. Unlike traditional sets where an element either belongs or doesn’t belong, fuzzy sets allow elements to have degrees of membership, ranging from 0 (not a member) to 1 (full member). For example, in a fuzzy set of "tall people," someone 6 feet tall might have a membership of 0.8, indicating they are mostly tall but not entirely. This concept helps in modeling situations where things aren’t black and white, allowing for more flexible and realistic decision-making.