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Fuzzy Logic deals with reasoning that is approximate rather than fixed and exact. It's about managing uncertainties by quantifying them using linguistic variables, which can take on values anywhere within a range, instead of precise numerical quantities. In the context of Computer Vision, Fuzzy Logic can be used to handle ambiguities and uncertainties inherent in visual data, such as image segmentation, object recognition, and pattern recognition. It can also help in dealing with noisy or incomplete data, making it a valuable tool for enhancing the robustness and reliability of Computer Vision systems.