The Takagi-Sugeno-Kang (TSK) model is a type of fuzzy inference system that uses a combination of fuzzy logic and mathematical functions to model complex systems. It is particularly effective for control and decision-making tasks due to its ability to handle nonlinear systems with a rule-based approach that produces crisp, deterministic outputs.