Name
Title | ||
|---|---|---|
Large-Scale Decision-Making: characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective |
Abstract | ||
|---|---|---|
•Definition and formal characterization of Large-Scale Decision Making (LSDM) framework.•Taxonomy of key elements found in LSDM models and processes.•Classification of preference representations used in LSDM.•Discussion of challenges and future directions from an AI and applications perspective. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.inffus.2020.01.006 | Information Fusion |
Keywords | DocType | Volume |
Large-scale decision making,Group decision making,Consensus reaching processes,Behaviour management,Subgroup clustering,Artificial Intelligence,Preference modelling | Journal | 59 |
ISSN | Citations | PageRank |
1566-2535 | 13 | 0.42 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ru-Xi Ding | 1 | 77 | 3.74 |
| Ivan Palomares | 2 | 199 | 11.40 |
| Xueqing Wang | 3 | 119 | 6.45 |
| Guo-Rui Yang | 4 | 13 | 0.42 |
| Bingsheng Liu | 5 | 177 | 8.56 |
| Yucheng Dong | 6 | 2831 | 99.15 |
| Enrique Herrera-Viedma | 7 | 13105 | 642.24 |
| Francisco Herrera | 8 | 27391 | 1168.49 |