Fuzzy logic in artificial intelligence

Fuzzy logic is a form of reasoning used in artificial intelligence that deals with uncertainty and imprecision, unlike traditional binary logic, which only allows true or false values. It enables systems to make decisions based on degrees of truth rather than crisp boundaries. For example, instead of classifying temperature as "hot" or "cold," fuzzy logic allows it to be "warm" or "somewhat hot." This approach is particularly useful in applications like control systems, language processing, and decision-making, where human-like reasoning is needed to handle complex or ambiguous situations effectively.

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Fuzzy logic is a concept in artificial intelligence that deals with reasoning that is approximate rather than fixed and exact. Unlike traditional Boolean logic, which requires binary true or false values, fuzzy logic allows for shades of truth, where something can be somewhat true or somewhat false. This approach mimics human decision-making more closely, accommodating uncertainties and vagueness. For example, it can evaluate temperatures with degrees, like "warm," instead of strictly "hot" or "cold." Fuzzy logic is widely used in systems such as climate control, washing machines, and various control systems that require nuanced decisions.