• DocumentCode
    2450885
  • Title

    Information fusion using conceptual spaces: Mathematical programming models and methods

  • Author

    Holender, Michael ; Nagi, Rakesh ; Sudit, Moises ; Rickard, J. Terry

  • Author_Institution
    SUNY at Buffalo, Buffalo
  • fYear
    2007
  • fDate
    9-12 July 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this work, we consider a relatively new representation used in cognitive theory to describe how people understand concepts. This representation is called conceptual spaces, and is a geometrical way to represent human thought. Our work relates conceptual spaces to data fusion, first at level 1, and later to be extended to level 2 (as defined by JDL [1]). In this paper, we focus on modeling these conceptual spaces as a mathematical program. We then discuss uses and methodologies for conceptual spaces in the light of data fusion.
  • Keywords
    cognition; mathematical programming; sensor fusion; cognitive theory; conceptual spaces; information fusion; mathematical programming models; Aerospace industry; Biological system modeling; Chemical sensors; Humans; Intelligent sensors; Mathematical model; Mathematical programming; Sensor fusion; Sensor systems; Systems engineering and theory; Conceptual Spaces; Data Fusion; Integer Program; Mathematical Program; Situational Assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2007 10th International Conference on
  • Conference_Location
    Quebec, Que.
  • Print_ISBN
    978-0-662-45804-3
  • Electronic_ISBN
    978-0-662-45804-3
  • Type

    conf

  • DOI
    10.1109/ICIF.2007.4408111
  • Filename
    4408111