Name
Abstract | ||
|---|---|---|
The uncertainty measurement of rough sets is one of the key problems in the rough set theory. The rough membership function provides a new interpretation for rough sets and serves as an approach for measuring their uncertainty. This paper presents a novel measure of fuzziness based on covering generalized rough sets and its properties. We define the rough membership function for the fourth type of covering generalized rough sets and prove some relevant properties, and then the fuzziness is defined based on the proposed rough membership function. A specific example is illustrated to explain the fuzziness. Last, we put forward a reasonable rough membership function for the fuzziness of irrationality of the third type of covering generalized rough sets. © 2012 IEEE. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/FSKD.2012.6234113 | FSKD |
Keywords | Field | DocType |
covering,fuzziness,generalized rough sets,rough membership function,uncertainty,rough set,uncertainty measurement,fuzzy set theory,rough set theory,fuzzy sets,measurement uncertainty,membership function,rough sets | Discrete mathematics,Pattern recognition,Computer science,Measurement uncertainty,Rough set,Fuzzy set,Artificial intelligence,Membership function,Dominance-based rough set approach | Conference |
Volume | Issue | Citations |
null | null | 1 |
PageRank | References | Authors |
0.40 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengzhuan Yang | 1 | 1 | 0.73 |
| Ji-yi Wang | 2 | 17 | 8.05 |
| Shuang Liu | 3 | 10 | 7.43 |