• DocumentCode
    1637097
  • Title

    Hybrid arithmetic

  • Author

    Ferson, Scott ; Ginzburg, Lev

  • Author_Institution
    Appl. Biomathematics, Setauket, NY, USA
  • fYear
    1995
  • Firstpage
    619
  • Lastpage
    623
  • Abstract
    Kaufmann´s (1986) formulation of hybrid numbers, which simultaneously express fuzzy and probabilistic uncertainty, allows addition and subtraction, but offers no obvious way to do multiplication, division or other operations. We describe another, more comprehensive formulation for hybrid numbers that allows the full suite of arithmetic operations, permitting them to be incorporated into complex mathematical calculations. There are two complementary approaches to computing with these hybrid numbers. The first is extremely efficient and yields theoretically optimal results in many circumstances. The second more general approach is based on Monte Carlo simulation using intervals or fuzzy numbers rather than scalar numbers
  • Keywords
    Monte Carlo methods; fuzzy set theory; probability; Monte Carlo simulation; addition; arithmetic operations; division; fuzzy numbers; fuzzy uncertainty; hybrid arithmetic; hybrid numbers; intervals; mathematical calculations; multiplication; probabilistic uncertainty; scalar numbers; subtraction; Arithmetic; Bridges; Convolution; Environmental factors; Fuzzy set theory; Fuzzy sets; Probability distribution; Risk analysis; Stochastic processes; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-7126-2
  • Type

    conf

  • DOI
    10.1109/ISUMA.1995.527766
  • Filename
    527766