Name
Abstract | ||
|---|---|---|
Preferences and uncertainty are common in many real-life problems. In this article, we focus on bipolar preferences and uncertainty modelled via uncontrollable variables, and we assume that uncontrollable variables are specified by possibility distributions over their domains. To tackle such problems, we concentrate on uncertain bipolar problems with totally ordered preferences, and we eliminate the uncertain part of the problem, while making sure that some desirable properties hold about the robustness of the problem and its relationship with the preference of the optimal solutions. We also consider several semantics to order the solutions according to different attitudes with respect to the notions of preference and robustness. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1080/0952813X.2010.524288 | Principles and Practice of Constraint Programming |
Keywords | Field | DocType |
different attitude,uncontrollable variable,optimal solution,uncertain part,real-life problem,desirable property,bipolar preference problem,uncertain bipolar problem,possibility distribution,bipolar preference,possibility theory,total order,uncertainty | Mathematical optimization,Computer science,Possibility theory,Uncertainty analysis,Robustness (computer science),Artificial intelligence,Semantics | Journal |
Volume | Issue | ISSN |
23 | 4 | 0952-813X |
Citations | PageRank | References |
5 | 0.51 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Bistarelli | 1 | 1317 | 105.40 |
| Maria Silvia Pini | 2 | 353 | 30.28 |
| Francesca Rossi | 3 | 2067 | 176.42 |
| Kristen Brent Venable | 4 | 351 | 37.00 |