Fuzzy Probabilities
New Approach and Applications
In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic because probabilities must add to one. Fuzzy random variables have fuzzy distributions. A fuzzy normal random variable has the normal distribution with fuzzy number mean and variance. Applications are to queuing theory, Markov chains, inventory control, decision theory and reliability theory.
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Produktdetails
- ISBN: 978-3-540-32388-4
- EAN: 9783540323884
- Produktnummer: 33301791
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2006
- Seitenangabe: 168 S.
- Plattform: PDF
- Masse: 6'576 KB
- Auflage: 2005
- Abbildungen: Bibliographie
- Reihenbandnummer: 115
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