Discrete Optimization with Interval Data : Minmax Regret and Fuzzy Approach
In operations research applications we are often faced with the problem of incomplete or uncertain data. This book considers solving combinatorial optimization problems with imprecise data modeled by intervals and fuzzy intervals. It focuses on some basic and traditional problems, such as minimum sp...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2008. |
| Collection: | Studies in Fuzziness and Soft Computing
|
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Discrete optimization with interval data, minmax regret and fuzzy approach, Adam Kasperski, Berlin, Springer, 2008, 1 vol. (xvi, 220 p.), Studies in fuzziness and soft computing, 978-3-540-78483-8 • Discrete Optimization with Interval Data, Texte imprimé, 9783642097201 • Discrete Optimization with Interval Data, Texte imprimé, 9783540849230 |