• DocumentCode
    2906677
  • Title

    Modelling nearness and cardinal directions between fuzzy regions

  • Author

    Schockaert, Steven ; De Cock, Martine ; Kerre, Etienne E.

  • Author_Institution
    Dept. of Appl. Math. & Comput. Sci., Ghent Univ., Ghent
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    1548
  • Lastpage
    1555
  • Abstract
    A significant part of real-world spatial information is affected by vagueness. For example, boundaries of non-administrative geographical regions tend to be ill-defined, while information about the nearness and relative orientation of two places is typically expressed through vague linguistic descriptions. In this paper, we propose a general framework to represent such information, using the concept of relatedness measures for fuzzy sets. Regions are represented as fuzzy sets in a two-dimensional Euclidean space, and nearness and relative orientation are expressed as fuzzy relations. To support fuzzy spatial reasoning, we derive transitivity rules and provide efficient techniques to deal with the complex interactions between nearness and cardinal directions.
  • Keywords
    fuzzy reasoning; fuzzy set theory; government; cardinal directions; fuzzy regions; fuzzy sets; fuzzy spatial reasoning; nearness modelling; nonadministrative geographical regions; two-dimensional Euclidean space; Cities and towns; Computer science; Europe; Fuzzy reasoning; Fuzzy sets; Legged locomotion; Mathematics; Natural languages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630578
  • Filename
    4630578