 Robust fuzzy programming

Robust fuzzy programming is a type of optimization approach that incorporates both fuzzy logic and robustness into decision-making processes, particularly in the face of uncertainty. It combines the principles of fuzzy set theory—in which uncertainty and imprecision are modeled linguistically—and robust optimization, which focuses on finding solutions that remain effective under a variety of uncertain future scenarios.