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Fuzzy Probabilities [electronic resource] : 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 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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| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Heidelberg : Physica-Verlag HD,
2003
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| Subjects: | Computer science., Artificial intelligence., Computer Science., Artificial Intelligence (incl. Robotics)., |
| Online Access: | http://dx.doi.org/10.1007/978-3-642-86786-6 |
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