Frequently a decision maker (DM) does not have a full information about the underlying uncertainty. For instance, the information about the probability of some events might be missing, or the probability distribution might fail to be additive. In this talk I will present non-additive probabilities, describe a few methods of integration with respect to these probabilities and how one may use these schemes in decision making.