Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.3233/IDT-2012-0141 | Intelligent Decision Technologies |
Keywords | Field | DocType |
real decision support,dss type,increasing variety,main dss,systems dss,modelling uncertainty,actual decision,underlying decision support methodology,decision support,increasing interest,recent trend,decision support systems,robustness,applications,uncertainty | Decision analysis,Intelligent decision support system,Computer science,Fuzzy logic,Decision support system,Uncertainty analysis,Robustness (computer science),Software,Probabilistic logic,Management science | Journal |
Volume | Issue | ISSN |
6 | 4 | 1872-4981 |
Citations | PageRank | References |
0 | 0.34 | 64 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis C. Dias | 1 | 371 | 28.34 |
| Carlos Henggeler Antunes | 2 | 261 | 34.75 |
| David Rios Insua | 3 | 77 | 9.45 |