Name
Abstract | ||
|---|---|---|
Uncertainty management has been considered essential for real world applications, and spatial data and geographic information systems in particular require some means for managing uncertainty and vagueness. Rough sets have been shown to be an effective tool for data mining and uncertainty management in databases. The 9-intersection, region connection calculus (RCC) and egg-yolk methods have proven useful for modeling topological relations in spatial data. In this paper, we apply rough set definitions for topological relationships based on the 9-intersection, RCC and egg-yolk models for objects with broad boundaries. We show that rough sets can be used to express and improve on topological relationships and concepts defined with these models. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.asoc.2004.11.003 | Appl. Soft Comput. |
Keywords | Field | DocType |
data mining,rough set approach,spatial data,rough set,uncertainty management,uncertainty,topological relationship,egg-yolk model,topological relation,rough set definition,spatial data method,egg-yolk method,broad boundary,vague region,vague regions,rough sets,topology,mathematical models,calculus,data management,geographic information system,roughness,data bases,information retrieval,set theory | Spatial analysis,Geographic information system,Data mining,Set theory,Vagueness,Rough set,Data management,Mathematics,Dominance-based rough set approach,Region connection calculus | Journal |
Volume | Issue | ISSN |
7 | 1 | Applied Soft Computing Journal |
Citations | PageRank | References |
13 | 0.58 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Theresa Beaubouef | 1 | 317 | 32.74 |
| Frederick E. Petry | 2 | 562 | 69.24 |
| Roy Ladner | 3 | 87 | 9.46 |