fuzzy time series

Fuzzy time series is a method used to analyze and forecast data that involves uncertainty or vagueness, such as economic trends or weather patterns. Instead of exact values, it uses fuzzy sets—categories like "high," "medium," or "low"—to represent data points. These categories allow for smoother transitions and better handling of imprecise or ambiguous information. By studying how these fuzzy categories change over time, the method can make predictions about future data, accommodating uncertainty more effectively than traditional exact models.