Title
Fuzzy description of topological relations II: computation methods and examples
Abstract
The unified fuzzy 9-intersection model of topological relations can describe the uncertainty of topological relations introduced by the uncertainty of spatial data. In this article, first, the raster algorithm for computing fuzzy 9-intersection model is presented, and the vector algorithms for computing fuzzy 9-intersection model of point/point, point/line, point/region, line/line, line/region, region/region topological relations are also provided. Second, based on the software developed by us, the examples for computing fuzzy 9-intersection matrix between two crisp objects, between two fuzzy objects and between a crisp object and a fuzzy object are listed. The results and analysis show that the unified fuzzy 9-intersection model is effective to describe the uncertainty of topological relations.
Year
DOI
Venue
2005
10.1007/11539902_162
ICNC (3)
Keywords
Field
DocType
9-intersection model,topological relation,spatial data,raster algorithm,region topological relation,fuzzy description,computation method,fuzzy object,vector algorithm,crisp object,analysis show,9-intersection matrix,software development
Discrete mathematics,Topology,Fuzzy classification,Defuzzification,Fuzzy set operations,Computer science,Fuzzy measure theory,Fuzzy logic,Algorithm,Fuzzy number,Type-2 fuzzy sets and systems,Fuzzy associative matrix
Conference
Volume
ISSN
ISBN
3612
0302-9743
3-540-28320-X
Citations 
PageRank 
References 
5
0.54
1
Authors
4
Name
Order
Citations
PageRank
Shihong Du119219.39
Qiao Wang29721.94
Qi-ming Qin315849.12
Yi-peng Yang4766.38