Name
Abstract | ||
|---|---|---|
A systematic study of recent developments in preferences based on fuzzy logic is carried out in order to identify an effective design for fuzzy preference models in conflict resolution. Fuzzy preference, defined via a fuzzy relation over the alternatives or states, attempts to represent a decision maker's preferences more realistically. It generalizes the usual preference structures in the sense that it provides a uniform description of both certain (crisp) and uncertain preferences. The potential applicability of fuzzy preferences to the modeling, analysis, and understanding of strategic conflicts is investigated and connected to a literature survey. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICSMC.2009.5346034 | IEEE International Conference on Systems, Man, and Cybernetics |
Keywords | Field | DocType |
fuzzy logic,fuzzy set theory,conflict resolution,decision making,fuzzy logic,fuzzy preference models,fuzzy relation,preference structures,Fuzzy preference relation,conflict resolution | Computer science,Conflict resolution,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy preference relation,Machine learning,Decision maker | Conference |
ISSN | ISBN | Citations |
1062-922X E-ISBN : 978-1-4244-2794-9 | 978-1-4244-2794-9 | 3 |
PageRank | References | Authors |
0.46 | 27 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Md. Abul Bashar | 1 | 4 | 0.84 |
| Keith W. Hipel | 2 | 133 | 21.57 |
| D. Marc Kilgour | 3 | 59 | 9.74 |