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Monte Carlo Methods in Fuzzy Optimization - Studies in Fuzziness and Soft Computing James J. Buckley 1st Ed. Softcover of Orig. Ed. 2008 edition
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Monte Carlo Methods in Fuzzy Optimization - Studies in Fuzziness and Soft Computing
James J. Buckley
Monte Carlo Methods in Fuzzy Optimization is a clear and didactic book about Monte Carlo methods using random fuzzy numbers to obtain approximate solutions to fuzzy optimization problems. The book includes various solved problems such as fuzzy linear programming, fuzzy regression, fuzzy inventory control, fuzzy game theory, and fuzzy queuing theory. The book will appeal to engineers, researchers, and students in Fuzziness and applied mathematics.
273 pages, 80 black & white tables, biography
| Media | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 22 november 2010 |
| ISBN13 | 9783642095160 |
| Utgivare | Springer-Verlag Berlin and Heidelberg Gm |
| Antal sidor | 273 |
| Mått | 156 × 234 × 14 mm · 390 g |
| Språk | Engelska |
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