Information input for multi-stage stochastic programs

We consider multi-stage stochastic programs with incomplete knowledge of probability distributions of the underlying random variables. Specially, we assume that the only available input for the probability distribution is some qualitative information. We apply the minimax approach and develop an algorithm for multi-stage minimax stochastic programs with linear recourse. Results and possible applications are illustrated on numerical examples.