Name
Abstract | ||
|---|---|---|
The gist of this paper is to propose a new method for aggregating individual fuzzy opinions into an optimal group consensus. By optimality, we mean the sum of weighted dissimilarity among aggregated consensus and individual opinions is minimized. We propose an iterative procedure for approximating the optimal consensus of expert opinions. Finally, the importance of each expert is taken into consideration in the process of aggregation. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1016/S0165-0114(02)00056-8 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
individual opinion,optimal group consensus,fuzzy numbers,group decision,iterative procedure,fuzzy individual opinions,individual fuzzy opinion,fuzzy opinions aggregation,weighted dissimilarity,expert opinion,group consensus opinion,multi-criteria decision making,new method,optimal consensus,aggregated consensus,fuzzy number,group decision making | Fuzzy logic,Multicriteria analysis,Artificial intelligence,Fuzzy number,Agrégation,Mathematics,Machine learning,Group decision-making | Journal |
Volume | Issue | ISSN |
132 | 3 | Fuzzy Sets and Systems |
Citations | PageRank | References |
70 | 4.42 | 3 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsuan-shih Lee | 1 | 535 | 36.35 |