• DocumentCode
    2398115
  • Title

    Fuzzy Spatial Relations between Vague Regions

  • Author

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

  • Author_Institution
    Dept. of Appl. Math. & Comput. Sci., Ghent Univ., Gent
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    221
  • Lastpage
    226
  • Abstract
    Various intelligent systems rely heavily on formalisms for spatial representation and reasoning. However, it is widely recognized that real-world regions are seldom characterized by a precisely defined boundary. This paper proposes a generalization of the region connection calculus (RCC) which allows to define spatial relations between vague regions. To this end, spatial relations are modelled as fuzzy relations. To support spatial reasoning based on these relations, we give some important properties and a transitivity table. Furthermore, we show how imprecise spatial information can be modelled in our approach when vague regions are represented as fuzzy sets
  • Keywords
    fuzzy reasoning; fuzzy set theory; spatial reasoning; fuzzy set; fuzzy spatial relation; region connection calculus; spatial reasoning; Calculus; Character recognition; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Geographic Information Systems; Intelligent systems; Robots; Topology; Virtual colonoscopy; Approximate Equality; Fuzzy Relation; Region Connection Calculus; Spatial Reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2006 3rd International IEEE Conference on
  • Conference_Location
    London
  • Print_ISBN
    1-4244-01996-8
  • Electronic_ISBN
    1-4244-01996-8
  • Type

    conf

  • DOI
    10.1109/IS.2006.348421
  • Filename
    4155428