Fuzzy Set Theory extends classical set theory by allowing elements to have varying degrees of membership, characterized by a membership function that assigns a value between 0 and 1. This approach is particularly useful in modeling and reasoning about uncertain or imprecise information, making it applicable in fields such as control systems, decision-making, and artificial intelligence.