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
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