Name
Abstract | ||
|---|---|---|
Rough sets and fuzzy sets are frameworks for the representation of uncertainty. They have been used in various applications such as the imprecise querying of crisp data, uncertainty management in databases, the mining of spatial data, and measurement of information content. This paper discusses such advances in rough and fuzzy set information systems. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GrC.2010.39 | Granular Computing |
Keywords | DocType | ISBN |
various application,crisp data,imprecise querying,fuzzy set,spatial data,rough set,fuzzy set information systems,information content,fuzzy set information system,uncertainty management,finite element methods,data mining,information systems,database management,rough set theory,relational databases,information system,fuzzy sets,uncertainty,fuzzy set theory,rough sets,database management systems | Conference | 978-1-4244-7964-1 |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Theresa Beaubouef | 1 | 317 | 32.74 |
| Frederick E. Petry | 2 | 562 | 69.24 |