fuzzy inference systems

A fuzzy inference system is a way for computers to make decisions or solve problems using reasoning similar to human thinking. Instead of strict yes/no logic, it handles degrees of truth, like “somewhat tall” or “mostly hot.” It takes input data, applies rules that interpret these nuanced terms, and combines them to produce a meaningful output. This approach allows systems to manage uncertainty and vagueness, making decisions more flexible and closer to how humans think about complex, imprecise information, such as in climate control, robotics, or decision support systems.