• 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