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Fuzzy Logic is a computing approach that deals with reasoning that is approximate rather than fixed and exact. It's based on the concept of 'degrees of truth'—rather than simply true or false, variables can have any value between 0 and 1. This methodology is particularly useful in Expert Systems where it can help manage uncertainty and imprecision inherent in human knowledge and decision-making processes. In the context of Deep Learning, Fuzzy Logic can be used to create more nuanced models capable of handling ambiguity and subjectivity often found in real-world data. As part of Artificial Intelligence, it provides a valuable tool for creating systems that mimic human cognition more accurately by accounting for vagueness and inconsistency common in human thought processes. Within the broader field of Technology, Fuzzy Logic offers a robust framework for building intelligent systems that can adapt to complex, dynamic environments.