Name
Abstract | ||
|---|---|---|
AbstractThis paper proposes a new generalization of classical real-valued information systems, that is, interval-valued information systems. By defining an interval-valued dominance relation on a condition attribute, a rough set model and attribute reduction are established over interval-valued information systems. Moreover, several interesting properties are investigated by constructive approach. Furthermore, knowledge reductions of consistent and inconsistent interval-valued dominance decision information systems are studied, respectively. Subsequently, some descriptive theorems of knowledge reduction are presented for interval-valued dominance decision information systems. Finally, the validity of the model and conclusions is verified by numerical example. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1111/exsy.12022 | Periodicals |
Keywords | Field | DocType |
rough set,interval-valued dominance relation,knowledge reduction | Information system,Dominance relation,Constructive,Computer science,Rough set,Artificial intelligence,Dominance-based rough set approach,Machine learning | Journal |
Volume | Issue | ISSN |
31 | 2 | 0266-4720 |
Citations | PageRank | References |
5 | 0.40 | 51 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bingzhen Sun | 1 | 696 | 31.92 |
| Weimin Ma | 2 | 427 | 26.76 |
| Zengtai Gong | 3 | 355 | 37.39 |