Name
Abstract | ||
|---|---|---|
•The approach is designed to handle multiple decision makers in a way that leads to one compromise solution.•The preferences of decision makers are extracted using a learning set-based approach.•The judgments of decision makers are combined via a mixed input–output aggregation strategy.•The weights of decision makers are objectively computed based on the input data.•The assignment of decision objects to decision classes is based on the use of the majority principle and veto effect.•The majority principle and veto effect notions are implemented through the concepts of concordance and discordance. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.ejor.2015.10.060 | European Journal of Operational Research |
Keywords | Field | DocType |
Multicriteria classification,Ordinal classification,Rough approximation,Dominance-based rough set approach,Group decision-making | Decision rule,Decision analysis,Data mining,Optimal decision,Weighted sum model,Multicriteria classification,Evidential reasoning approach,Mathematics,Dominance-based rough set approach,Group decision-making | Journal |
Volume | Issue | ISSN |
251 | 1 | 0377-2217 |
Citations | PageRank | References |
17 | 0.51 | 46 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salem Chakhar | 1 | 88 | 12.88 |
| Alessio Ishizaka | 2 | 320 | 24.57 |
| Ashraf Labib | 3 | 31 | 4.56 |
| Inès Saad | 4 | 63 | 12.44 |