Name
Abstract | ||
|---|---|---|
Rough set is a new approach to uncertainties in spatial analysis. In this paper, we complete three works under the umbrella of rough space. First, a set of simplified rough symbols is extended on the basis of existing rough symbols. It is in terms of rough interpretation and specialized indication. Second, rough spatial entity is proposed to study the real world as it is, without forcing uncertainties to change into a crisp set. Third, rough spatial topological relationships are studied by using rough matrix and their figures. The relationships are divided into three types, crisp entity and crisp entity (CC), rough entity and crisp entity (RC) and rough entity and rough entity (RR). A universal intersected equation is further developed. Finally, rough membership function is further extended with the gray scale in our case study. And the maximum and minimum maps of river thematic classification are generated via the rough membership function and rough relationships. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-25929-9_52 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
spatial analysis,rough set,membership function | Matrix (mathematics),Algorithm,Rough set,Thematic map,Membership function,Grayscale,Mathematics,Dominance-based rough set approach | Conference |
Volume | ISSN | Citations |
3066 | 0302-9743 | 5 |
PageRank | References | Authors |
0.58 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuliang Wang | 1 | 202 | 32.66 |
| Hanning Yuan | 2 | 21 | 5.31 |
| Guoqing Chen | 3 | 22 | 5.61 |
| Deren Li | 4 | 620 | 74.26 |
| Wenzhong Shi | 5 | 778 | 86.23 |