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Fuzzy Logic is a computational approach that deals with reasoning that is approximate rather than fixed and exact. It's a form of many-valued logic, which departs from classical binary logic by allowing for continuous variables. In the context of Machine Learning Methods, Fuzzy Logic can be used to model complex systems with unclear or imprecise relationships between variables. It's particularly useful in situations where crisp boundaries don't exist, such as decision-making processes that involve subjective judgment. This makes it a valuable tool in Artificial Intelligence Algorithms, contributing to the development of intelligent systems that can handle ambiguity and make decisions based on vague or uncertain information. As such, Fuzzy Logic is a key component of Technology and Artificial Intelligence, enabling the creation of more sophisticated and human-like machine learning models.