Fuzzy Probabilities - New Approach and Applications (Paperback, 2005 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Fuzziness and Soft Computing, 115
Release date:	November 2014
First published:	2005
Authors:	James J Buckley
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	168
Edition:	2005 ed.
ISBN-13:	978-3-642-42133-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	3-642-42133-4
Barcode:	9783642421334

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