Name
Abstract | ||
|---|---|---|
In this paper, a method is proposed for aggregating individual fuzzy opinions into a group fuzzy consensus opinion. This paper presents a procedure for aggregating the expert opinions. First, we define the index of consensus of each expert to the other experts using a similarity measure. Then, we aggregate the experts using the index of consensus and the importance of each expert. Finally, a numerical example is given to apply our model. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1016/0165-0114(95)00185-9 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
fuzzy opinion,group decision,fuzzy numbers,group consensus opinion,fuzzy individual opinions,agreement matrix,fuzzy number,group decision making | Similarity measure,Fuzzy logic,Artificial intelligence,Fuzzy number,Machine learning,Mathematics,Group decision-making | Journal |
Volume | Issue | ISSN |
79 | 3 | Fuzzy Sets and Systems |
Citations | PageRank | References |
104 | 13.95 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsi-Mei Hsu | 1 | 199 | 32.69 |
| Chen-Tung Chen | 2 | 391 | 47.00 |