DocumentCode :
2752844
Title :
Modeling topological relations between fuzzy spatiotemporal regions over time
Author :
Luyi Bai ; Li Yan ; Ma, Z.M.
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
8
Abstract :
Representing and identifying the topological relations between fuzzy spatiotemporal regions over time have an important significance in reasoning fuzzy spatiotemporal relations. The research issue of topological relations between fuzzy regions over time has attracted a lot of attention in the recent years. However, modeling topological relations needs to be further developed and it is still an open issue. In this paper, we extend the 9-Intersection model to establish a model for identification of topological relations between fuzzy spatiotemporal regions over time, and use extended intersection matrix to identify all possible topological relations. On the basis of our topological relation model, we extend two-dimensional Egg/Yolk model to three-dimensional space and calculate the corresponding intersection matrixes of each topological relations. Furthermore, after investigation of topological complexity and topological distance based on our proposed topological relation model, we propose a comprehensive conceptual neighborhood graph of the topological relations implemented on MATLAB.
Keywords :
computational complexity; fuzzy set theory; geographic information systems; inference mechanisms; matrix algebra; topology; 9-Intersection model; GIS database; conceptual neighborhood graph; extended intersection matrix; fuzzy spatiotemporal regions; reasoning; three-dimensional space; topological complexity; topological distance; topological relations; two-dimensional egg/yolk model; Adaptation models; Complexity theory; Computational modeling; Educational institutions; Mathematical model; Solid modeling; Spatiotemporal phenomena; conceptual neighborhood graph; fuzzy regions; intersection matrix; topological complexity; topological distance; topological relations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
ISSN :
1098-7584
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2012.6251184
Filename :
6251184
Link To Document :
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