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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Anbieter: Salish Sea Books, Bellingham, WA, USA
Zustand: Good. Good+; Hardcover; Withdrawn library copy with the standard library markings; Light wear to the covers; Library stamps to the endpapers; Text pages are clean & unmarked; Binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 0.9 lbs; Dark blue and orange covers with title in blue lettering; 2003, Physica Publishing; 165 pages; "Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing)," by James J. Buckley. Bestandsnummer des Verkäufers SKU-0052AI01003136
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