This paper proposes a method to solve the selection problem in GIS generalization by leveraging the rough sets theory for attribute reduction.
Abstract. This paper proposes a method to solve the selection problem in GIS generalization by leveraging the rough sets theory for attribute reduction.
This paper proposes a method to solve the selection problem in GIS generalization by leveraging the rough sets theory for attribute reduction.
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 ...
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Abstract: This paper introduces how to apply rough set classification and attribute reduction method in map generalization and provides solutions to several ...
This paper analyzes the basic math in recent years in the research of rough set theory and related nature, discusses the GIS uncertainty covering approximation ...
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This paper proposes a method to solve the selection problem in GIS generalization by leveraging the rough sets theory for attribute reduction. In specific, by ...
Representing Map Generalization Classifications Uncertainty Using Rough Set. We often use nine arithmetic operators to generalize the map data. These nine ...
Rough Set Theory and Its Application in Attribute Analysis and Knowledge Discovery in GIS ... Thematic Data Generalization in GIS[J]. Geomatics and Information ...
The generalization analysis tools are used to either clean up small erroneous data in the raster or generalize the data to get rid of unnecessary detail for a ...