Topics in Rough Set Theory : Current Applications to Granular Computing / / by Seiki Akama, Yasuo Kudo, Tetsuya Murai
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| Autore: |
Akama Seiki
|
| Titolo: |
Topics in Rough Set Theory : Current Applications to Granular Computing / / by Seiki Akama, Yasuo Kudo, Tetsuya Murai
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (208 pages) |
| Disciplina: | 511.32 |
| 551.322 | |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Persona (resp. second.): | KudoYasuo |
| MuraiTetsuya | |
| Nota di contenuto: | Introduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory. |
| Sommario/riassunto: | This book discusses current topics in rough set theory. Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field. |
| Titolo autorizzato: | Topics in Rough Set Theory |
| ISBN: | 3-030-29566-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483323903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Intelligent Systems Reference Library, . 1868-4394 ; ; 168