Name
Abstract | ||
|---|---|---|
To make multiattribute decision with incomplete information, the paper proposed a method based on rough set. The paper defined the concepst of breaking points, scan vector and the addition of scan vector to recover the incomplete information system through rough set. Then introduced OWA (ordered weighte averaging) operators to calculate the aggregation value of each project. Finally, obtained the qualitatived decision making information.The illustration and experiments were implemented in VC++6.0, which results indicate that the method is effective and efficient. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/FSKD.2008.278 | FSKD (2) |
Keywords | Field | DocType |
algorithm design and analysis,set theory,incomplete information,rough set theory,rough set,information systems,data recovery,data mining | Information system,Data mining,Computer science,Operator (computer programming),Artificial intelligence,Complete information,Dominance-based rough set approach,Set theory,Algorithm design,Pattern recognition,Rough set,Data recovery,Machine learning | Conference |
Volume | Issue | Citations |
2 | null | 1 |
PageRank | References | Authors |
0.40 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xu E | 1 | 4 | 3.89 |
| Shaocheng Tong | 2 | 8625 | 289.74 |
| Yue-ling Jiang | 3 | 1 | 0.40 |
| Yunfei Qiu | 4 | 5 | 1.21 |
| Fuming Sun | 5 | 137 | 15.51 |
| Gui-ying Wei | 6 | 1 | 0.40 |