Rough set theory ; a true landmark in data analysis
Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still...
Enregistré dans:
| Andre forfattere: | , , , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2009. |
| Serier: | Studies in Computational Intelligence
174 |
| 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: | • Rough set theory, a true landmark in data analysis, Ajith Abraham, Rafael Falcón, Rafael Bello (eds.), Berlin, Springer, 2009, 1 vol. (XV-322 p.), Studies in computational intelligence, 978-3-540-89920-4 • Rough Set Theory: A True Landmark in Data Analysis, Texte imprimé, 9783540899228 • Rough set theory, a true landmark in data analysis, Ajith Abraham, Rafael Falcón, Rafael Bello (eds.), Berlin, Springer, 2009, 1 vol. (XV-322 p.), Studies in computational intelligence, 978-3-540-89920-4 • Rough set theory, a true landmark in data analysis, Ajith Abraham, Rafael Falcón, Rafael Bello (eds.), Berlin, Springer, 2009, 1 vol. (XV-322 p.), Studies in computational intelligence, 978-3-540-89920-4 |