FIB, or Fuzzy Inference System, is a form of artificial intelligence that mimics human reasoning to make decisions based on uncertain or imprecise information. It uses a set of rules and fuzzy logic to evaluate inputs and produce outputs, allowing for more flexible and intuitive problem-solving compared to traditional binary logic systems. FIB is commonly applied in various fields, including control systems, data analysis, and machine learning. By handling vague data effectively, FIB can improve decision-making processes in areas such as automated systems, financial forecasting, and medical diagnosis.