Monte Carlo Methods in Fuzzy Optimization - James J. Buckley,Leonard J. Jowers
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Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
1. 1 Introduction The objective of this book is to introduce Monte Carlo methods to ?nd good approximate solutions to fuzzy optimization problems. Many crisp (nonfuzzy) optimization problems have algorithms to determine solutions. This is not true for fuzzy optimization. There are other things to discuss in fuzzy optimization, which we will do later onin the book, like? and
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Kuvaus
1. 1 Introduction The objective of this book is to introduce Monte Carlo methods to ?nd good approximate solutions to fuzzy optimization problems. Many crisp (nonfuzzy) optimization problems have algorithms to determine solutions. This is not true for fuzzy optimization. There are other things to discuss in fuzzy optimization, which we will do later onin the book, like? and
Lisätietoja
| Kirjoittaja | James J. Buckley, Leonard J. Jowers |
|---|---|
| Julkaisija | Springer Berlin Heidelberg |
| Series | Studies in Fuzziness and Soft Computing |
| Julkaisuvuosi | 2008 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9783540762898 |