Fuzzy inference systems is a computational methodology rooted in fuzzy set theory and fuzzy logic, designed to perform approximate reasoning and handle uncertainty and imprecision. This approach models human-like decision processes by defining linguistic variables, membership functions, and IF-THEN rules, enabling the mapping of input spaces to output spaces for applications in control, modeling, and decision support where precise mathematical models are difficult to formulate.