| 書(shū)目名稱 | Fuzzy Probabilities |
| 副標(biāo)題 | New Approach and App |
| 編輯 | James J. Buckley |
| 視頻video | http://file.papertrans.cn/352/351330/351330.mp4 |
| 概述 | New method of dealing with imprecise probabilities, most of which not published before |
| 叢書(shū)名稱 | Studies in Fuzziness and Soft Computing |
| 圖書(shū)封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2005 |
| 關(guān)鍵詞 | Fuzzy; Probability theory; decision theory; fuzzy numbers; fuzzy parameters; fuzzy probability theory; sta |
| 版次 | 1 |
| doi | https://doi.org/10.1007/3-540-32388-0 |
| isbn_softcover | 978-3-642-42133-4 |
| isbn_ebook | 978-3-540-32388-4Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2005 |
|Archiver|手機(jī)版|小黑屋|
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