This paper is devoted to the problem of robust fuzzy optimization. To this end, we incorporate fuzziness into the current hot research topic robust optimization and thus obtain the so-called robust fuzzy optimization model. Deterministically equivalent problem of this model is derived, and two algorithms for solving the derived problem are posed. Furthermore, the convergences of the two algorithms are also proved.