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.
| ISBN: | 9783642421334 |
| Publication date: | 23rd November 2014 |
| Author: | James J Buckley |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 168 pages |
| Series: | Studies in Fuzziness and Soft Computing |
| Genres: |
Probability and statistics Stochastics Artificial intelligence |
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.
Fuzzy Probabilities features in the following genres: Probability and statistics, Stochastics, Artificial intelligence
Paperback. Not Available.
Fuzzy Probabilities was written by James J Buckley and published by Springer an imprint of Springer Berlin Heidelberg
Fuzzy Probabilities has 168 pages
Yes it is part of Studies in Fuzziness and Soft Computing series