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OverviewIn 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. Full Product DetailsAuthor: James J. BuckleyPublisher: Physica-Verlag GmbH & Co Imprint: Physica-Verlag GmbH & Co Volume: v. 115 Dimensions: Width: 15.50cm , Height: 1.30cm , Length: 23.50cm Weight: 0.380kg ISBN: 9783790815429ISBN 10: 379081542 Pages: 165 Publication Date: November 2002 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |