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...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature Cham : Cham : |
| Udgivelse: | 1st ed. 2005. |
| Serier: | Studies in Fuzziness and Soft Computing
115 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fuzzy probabilities, new approach and applications, James J. Buckley, Berlin, Springer, 2005, 1 vol. (XI-164 p.), Studies in fuzziness and soft computing, 3-540-25033-6 • Fuzzy Probabilities, Texte imprimé, 9783540808046 • Fuzzy Probabilities, Texte imprimé, 9783642421334 |
Indholdsfortegnelse:
- 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