• DocumentCode
    1256371
  • Title

    Set Measure Directed Multi-Source Information Fusion

  • Author

    Yager, Ronald R.

  • Author_Institution
    Machine Intell. Inst., Iona Coll., New Rochelle, NY, USA
  • Volume
    19
  • Issue
    6
  • fYear
    2011
  • Firstpage
    1031
  • Lastpage
    1039
  • Abstract
    Our concern here is with the multi-source fusion problem. Two important aspects of this problem are the representation of information provided by the sources and the formulation of the instructions on how to fuse the information provided, which we refer to as the fusion imperative. We investigate the use of a monotonic set measure as a means of representing the fusion imperative. We look at the fusion of various different types of information, precise data, uncertain information such as probabilistic and possibilistic. We also consider the case of imprecise uncertain information such as that represented by a Dempster-Shafer belief structure.
  • Keywords
    belief maintenance; fuzzy set theory; knowledge representation; sensor fusion; uncertainty handling; Dempster-Shafer belief structure; fusion imperative representation; fuzzy measure representation; information representation; monotonic set measure; possibilistic information; probabilistic information; set measure directed multi-source information fusion; uncertain information; Information representation; Pragmatics; Probability distribution; Q measurement; Uncertainty; Aggregation; Dempster-Shafer; fuzzy measure representation; hard-soft fusion; multi-source fusion; uncertainty modeling;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2011.2159725
  • Filename
    5928404