TITLE:
Use of Rough Sets Theory in Point Cluster and River Network Selection
AUTHORS:
Jia Qiu, Ruisheng Wang, Wenjing Li
KEYWORDS:
Rough Sets Theory, Map Generalization, Point Cluster, River Network, Progressive Selection
JOURNAL NAME:
Journal of Geographic Information System,
Vol.6 No.3,
June
11,
2014
ABSTRACT:
In this paper, we applied the rough sets to
the point cluster and river network selection. In order to meet the
requirements of rough sets, first, we structuralize and quantify the spatial
information of objects by convex hull, triangulated irregular network (TIN),
Voronoi diagram, etc.; second, we manually assign decisional attributes to the
information table according to conditional attributes. In doing so, the spatial
information and attribute information are integrated together to evaluate the
importance of points and rivers by rough sets theory. Finally, we select the
point cluster and the river network in a progressive manner. The experimental
results show that our method is valid and effective. In comparison with
previous work, our method has the advantage to adaptively consider the spatial
and attribute information at the same time without any a priori knowledge.