Fuzzy Probabilities - New Approach and Applications (Hardcover, 1st ed. 2003. 2nd printing 2005)

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:	March 2005
First published:	2005
Authors:	James J Buckley
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Hardcover
Pages:	168
Edition:	1st ed. 2003. 2nd printing 2005
ISBN-13:	978-3-540-25033-3
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General
LSN:	3-540-25033-6
Barcode:	9783540250333

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