• DocumentCode
    2579455
  • Title

    Statistical approaches to fusion with uncertainty

  • Author

    Hummel, Robert ; Manevitz, Larry

  • Author_Institution
    Courant Inst., New York Univ., NY, USA
  • fYear
    1991
  • fDate
    13-16 Oct 1991
  • Firstpage
    831
  • Abstract
    Reasoning with uncertainty is a field with many different approaches and viewpoints, with important applications to sensor design and autonomous system development. An attempt is made to unify some of the different approaches by introducing a common philosophical framework under which different calculi may be developed. Each calculus reflects different design choices compatible with the philosophical tenets. The tenets postulate that uncertainty in representations can be viewed as a degree of dispersion of opinions, and that the space of opinions operates as a separate sample space distinct from the underlying sample space on which probabilities are normally defined. Different calculi result when choices are made for the representation of the opinions, the method for combining opinions, the method for juxtaposing multiple sets of opinions, and the way of measuring the spread in the opinions
  • Keywords
    calculus; inference mechanisms; probability; signal processing; statistical analysis; autonomous system; calculus; opinions; probability; reasoning; sensor fusion; statistical analysis; uncertainty; Application software; Bayesian methods; Calculus; Computer science; Current measurement; Probability; Sensor fusion; Sensor systems; Sensor systems and applications; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    0-7803-0233-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1991.169789
  • Filename
    169789