Name
Abstract | ||
|---|---|---|
Explosively-growing information provides people various and feasible solutions in decision making. According to the collective intelligence (CI) theory, as individuals in a community can express their opinions independently and all of the opinions are integrated by an appropriate scheme to result in tendency, such tendency would be more “intelligent” than the opinion of the most intelligent expert in the community. The three stages include “analysis of opinions contents”, “representation of formatted opinion contents”, and “analysis of opinions tendency and representation of conclusions”. Based on the proposed methodology, a collective intelligence for opinion analysis and tendency determination system is developed, and a real-world case is used to evaluate the feasibility and performance of the proposed methodology. Therefore, this research attempts to develop a system that can help decision makers to acquire a valuable reference and to make the best decision for evaluating real decision cases in the decision making process. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CSCWD.2012.6221816 | CSCWD |
Keywords | Field | DocType |
artificial intelligence,opinion introduction (heading 1),decision making,opinion content analysis,collective intelligence theory,collective intelligence,tendency determination system,formatted opinion content representation,data mining,opinion analysis,decision making process,explosively-growing information,convergence,decision maker | Decision analysis,Marketing and artificial intelligence,Computer science,Collective intelligence,Decision support system,Knowledge management,Business decision mapping,Intelligence cycle (target-centric approach),R-CAST,Decision engineering | Conference |
ISBN | Citations | PageRank |
978-1-4673-1211-0 | 0 | 0.34 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming-Yi Lu | 1 | 0 | 0.34 |
| Hung-Lung Lin | 2 | 83 | 5.24 |
| Jiang-Liang Hou | 3 | 137 | 18.41 |