Fuzzy logic control is a method of reasoning that mimics human decision-making processes to handle uncertainty and imprecision in systems. It allows for more flexible and adaptive control strategies by using fuzzy sets and rules, enabling machines to interpret vague or ambiguous information. This approach is particularly useful in automation and robotics, where traditional binary logic falls short in complex environments.
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