Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing, 115, Band 115) - Hardcover
Buch 29 von 183: Studies in Fuzziness and Soft Computing
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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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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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Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing, 115)
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Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing, 115)
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Fuzzy Probabilities : New Approach and Applications
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Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2005
ISBN 10: 3540250336
ISBN 13: 9783540250333
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783540250333
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