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
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