has been cited by the following article:
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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.
https://www.tandfonline.com/doi/abs/10.1179/caj.1966.3.1.10
Algorithmic Foundation of Multi-Scale Spatial Representation：link1 link2 link3
Selection principle:https://en.wikipedia.org/wiki/Selection_principle