We present in this paper a new approach for building distributed decision support systems. Multiple decision makers support systems are devoted to assist setting a consensus while taking into account all aspects related to the distributed nature of the processes. This approach is based on the integration of the individual cognitive models of the decision makers of the team and on the modeling of the dynamics of individual decisions when being interleaved. Our model allows to detect and prevent extremal group behaviors and to identify the right information transfers to be set among decision makers. This model has been tested in a realistic application framework concerning decision making in Maritime Surveillance where several operators have to converge towards a unique decision in limited time. We conclude with proposing the main elements of a design methodology for decision makers support systems based on the proposed approach.