Name
Title | ||
|---|---|---|
A linear programming approach for learning non-monotonic additive value functions in multiple criteria decision aiding. |
Abstract | ||
|---|---|---|
•A new disaggregation method to infer non-monotonic value functions from indirect pairwise comparisons is introduced.•The variation in slope is minimized against discriminatory power of the inferred value function.•The proposed methodology leads to a linear programming problem.•A thorough experimental analysis is conducted to demonstrate effectiveness of the proposed methodology. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ejor.2016.11.038 | European Journal of Operational Research |
Keywords | Field | DocType |
Multiple criteria analysis,Preference disaggregation,Decision analysis,Linear programming,Non-monotonic value functions | Decision analysis,Pairwise comparison,Monotonic function,Decision problem,Mathematical optimization,Marginal value,Bellman equation,Artificial intelligence,Linear programming,Optimization problem,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
259 | 3 | 0377-2217 |
Citations | PageRank | References |
8 | 0.53 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Ghaderi | 1 | 15 | 1.35 |
| Francisco Ruiz | 2 | 301 | 29.12 |
| Núria Agell | 3 | 199 | 30.62 |