• DocumentCode
    3530738
  • Title

    Aspects of object merging

  • Author

    Bronselaer, Antoon ; De Tré, Guy

  • Author_Institution
    Dept. of Telecommun. & Inf. Process., Ghent Univ., Ghent, Belgium
  • fYear
    2010
  • fDate
    12-14 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Information fusion is a research area that investigates how to combine information provided by independent sources into one piece of information. This topic has been studied for several applications leading to, amongst others, aggregation operators in bounded lattices and merge functions of propositional belief bases. In this paper, information fusion is investigated in the context of coreferent objects, which are objects that refer to the same real world entity. Some important properties of object merge functions are pointed out and object merge functions for both atomic and complex objects are investigated in a possibilistic framework. It is shown how merge functions for complex objects can be composed of merge functions for atomic objects, such that the composite function inherits the properties of the merge functions from which it is composed.
  • Keywords
    data handling; sensor fusion; statistical distributions; aggregation operators; atomic objects; complex objects; composite function; coreferent objects context; information fusion; merge functions; possibilistic framework; propositional belief bases; Batteries; Databases; File systems; Fuses; Information processing; Information systems; Lattices; Merging; Object detection; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-7859-0
  • Electronic_ISBN
    978-1-4244-7857-6
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2010.5548205
  • Filename
    5548205