An uncertain multi-objective multidisciplinary design optimization (MDO) is suggested, which is based on the multidisciplinary feasible method (MDF).The uncertainty is described as an interval.The uncertainties, several disciplines and multi-objective optimization problems are coupled.The problem is formulated as a three-loop nesting optimization one.The state variables are solved by the iteration of the multidisciplinary system analysis in the inner loop.The interval of objective functions and constraints are obtained in the middle loop.The design vector is optimized in the outer loop.Then, the uncertain MDO problem can be transformed into the deterministic MDO problem through interval number programming.Therefore, Based on the transformation model, a new algorithm is proposed to solve the interval uncertain multi-objective MDO problem.One numerical example is presented to illustrate the validity of the proposed method.