Abstract
This paper reviews research in relation with modelling uncertainty within Decision Support Systems (DSS) from 2000 to 2011. It specifically addresses software that has been built or prototyped with the purpose of supporting actual decision making, which is able to explicitly deal with uncertainty (widely understood) on the corresponding model parameters and/or data. The main DSS features analysed are the underlying decision support methodology, the type of uncertainty modelling approach used, the DSS type, and the application area. We appreciate that there is an increasing interest in dealing with uncertainty in real decision support, with prevailing interest in probabilistic approaches and, when linguistic imprecision is involved, fuzzy approaches. We have also recognized an increasing variety of perspectives adopted.