fuzzy patterns

Fuzzy patterns refer to data or signals that are not precise or black-and-white but instead have degrees of uncertainty or ambiguity. Unlike clear-cut patterns, fuzzy patterns recognize that real-world information often isn't exact—things like "somewhat tall" or "moderately bright" have shades of meaning. They help systems interpret and make decisions based on partial or imprecise data, making models more flexible and closer to how humans perceive the world. This approach is useful in fields like artificial intelligence, data analysis, and pattern recognition, where information often isn't perfectly clear cut.