Description
Fuzzy Probabilities, 2005
New Approach and Applications
Studies in Fuzziness and Soft Computing Series, Vol. 115
Author: Buckley James J.
Language: EnglishSubject for Fuzzy Probabilities:
Fuzzy Probabilities
Publication date: 11-2014
168 p. · 15.5x23.5 cm · Paperback
Publication date: 11-2014
168 p. · 15.5x23.5 cm · Paperback
Fuzzy Probabilities
Publication date: 03-2005
168 p. · 15.5x23.5 cm · Hardback
Publication date: 03-2005
168 p. · 15.5x23.5 cm · Hardback
Description
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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.
Fuzzy Sets.- Fuzzy Probability Theory.- Discrete Fuzzy Random Variables.- Fuzzy Queuing Theory.- Fuzzy Markov Chains.- Fuzzy Decisions Under Risk.- Continuous Fuzzy Random Variables.- Fuzzy Inventory Control.- Joint Fuzzy Probability Distributions.- Applications of Joint Distributions.- Functions of a Fuzzy Random Variable.- Functions of Fuzzy Random Variables.- Law of Large Numbers.- Sums of Fuzzy Random Variables.- Conclusions and Future Research.
New method of dealing with imprecise probabilities, most of which not published before
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