Markov decision processes (MDPs) are a well-known formalism for mod- eling discrete event systems. Several extensions of the model have been proposed in order to encompass additional model-level uncertainty in MDPs. Here, we introduce a multi-scenario uncertainty model which has been proposed in the author’s PhD thesis and possible future research.