Name
Abstract | ||
|---|---|---|
With the view of granular computing, there are different granules at different levels of scale in data sets having hierarchical scale structures. In this paper, the concept of multi-scale decision systems is introduced firstly, then a formal approach to rule acquisition measured at different levels of granulations is proposed, and some algorithms for rule acquisition in consistent multi-scale decision systems are proposed with illustrative examples. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/FSKD.2011.6019533 | FSKD |
Keywords | Field | DocType |
granular computing,rough set theory,granules,knowledge based systems,data sets,rule acquisition,decision systems,formal approach,rough sets,hierarchical scale structures,multi-scale,consistent multiscale decision systems,fuzzy systems,cognition,rough set,fuzzy system,information system,information systems | Data set,Computer science,Decision system,Knowledge-based systems,Rough set,Granular computing,Artificial intelligence,Dominance-based rough set approach,Machine learning | Conference |
Volume | Issue | ISBN |
1 | null | 978-1-61284-180-9 |
Citations | PageRank | References |
3 | 0.38 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shen-Ming Gu | 1 | 56 | 5.27 |
| Wei-Zhi Wu | 2 | 3205 | 125.29 |
| Yun Zheng | 3 | 59 | 11.91 |