Name
Abstract | ||
|---|---|---|
Influence diagrams (IDs) are one of the most commonly used graphical decision models for reasoning under uncertainty. Game theory-based IDs (GIDs) incorporate game theory into IDs such that decision makers can make more rational decisions. However, in a GID, the utility nodes values are represented by sharp values. This is inappropriate because it is not always available for a decision maker to get other decision makers' sharp-valued preference under uncertainty. In this paper, we extend GIDs to game influence diagrams with interval-valued utilities (IU-GIDs) in which utilities are expressed via interval values. This extension avoids difficulties attached to the specification of sharp-valued relative to value nodes, and provides more reasonable expression on other decision makers. We also propose a method for evaluating IU-GIDs by decomposing IU-GIDs into non-game IDs with interval-valued utilities(IU-IDs). The experiments evaluate proposed algorithm in terms of correctness, convergence and efficiency. The results show that our method can effectively solving IU-GIDs problem. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/FSKD.2017.8392959 | 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) |
Keywords | Field | DocType |
Influence diagrams,game theory,interval-valued utility | Convergence (routing),Approximation algorithm,Mathematical optimization,Computer science,Correctness,Influence diagram,Game theory,Decision model,Decision maker | Conference |
ISBN | Citations | PageRank |
978-1-5386-2166-0 | 0 | 0.34 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changchun Ren | 1 | 0 | 0.34 |
| Lihua Zhou | 2 | 18 | 7.71 |
| Yuan Fang | 3 | 16 | 7.74 |
| Lizhen Wang | 4 | 153 | 26.16 |