Name
Abstract | ||
|---|---|---|
This paper examines the problem of aggregating ordinal preferences on a set of alternatives into a consensus. This problem has been the subject of study for more than two centuries and many procedures have been developed to create a compromise or consensus. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.ejor.2005.03.048 | European Journal of Operational Research |
Keywords | Field | DocType |
Ranking,Ordinal preferences,Distance,Consensus,Correlation,Voters,Power indices | Data mining,Correlation method,Axiom,Equivalence (measure theory),Artificial intelligence,Rank correlation,Mathematical optimization,Ranking,Voting,Ordinal number,Compromise,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
172 | 2 | 0377-2217 |
Citations | PageRank | References |
76 | 6.41 | 1 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wade D. Cook | 1 | 1215 | 84.70 |