fuzzy classification

Fuzzy classification is a method used in data analysis where items are assigned degrees of belonging to different categories rather than a strict yes-or-no label. Instead of classifying an item as fully belonging to one group, fuzzy classification recognizes that real-world data can be uncertain or overlapping. For example, a person might be both somewhat tall and somewhat short, depending on the context. This approach provides a more nuanced understanding, allowing for partial memberships and better modeling of complex, ambiguous situations.