Fuzzy Probabilities New Approach and Applications /

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...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Buckley, James J. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Studies in Fuzziness and Soft Computing, 115
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Fuzzy Probabilities  |h [electronic resource] :  |b New Approach and Applications /  |c by James J. Buckley. 
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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 115 
505 0 |a 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. 
520 |a 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. 
650 0 |a Mathematics. 
650 0 |a Artificial intelligence. 
650 0 |a Probabilities. 
650 1 4 |a Mathematics. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
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776 0 8 |i Printed edition:  |z 9783540250333 
830 0 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 115 
856 4 0 |u http://dx.doi.org/10.1007/3-540-32388-0  |z Full Text via HEAL-Link 
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