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:<math>\max_{x\in X,v\in \mathbb{R}} \ \{v: v\le f(x,u), g(x,u)\le b, \forall u\in U(x)\}</math>
In another effort and in one of the '''non-probabilistic''' models, Erfani and Utyuzhnikov<ref>Tohid Erfani and Sergei Utyuzhnikov. Handling Uncertainty and Finding Robust Pareto Frontier in Multiobjective Optimization Using Fuzzy Set Theory 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference et al, Orlando, Florida, 2010</ref>, use the fuzzy variables in order to quantify the uncertainties within the design parameters. They introduce a Robust measure in contxt of [[multiobjective optimization]] to find the robust [[Pareto]] solutions.
== Probabilistic robust optimization models ==
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