Reasoning with Rough Sets : Logical Approaches to Granularity-Based Framework / / by Seiki Akama, Tetsuya Murai, Yasuo Kudo
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| Autore: |
Akama Seiki
|
| Titolo: |
Reasoning with Rough Sets : Logical Approaches to Granularity-Based Framework / / by Seiki Akama, Tetsuya Murai, Yasuo Kudo
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Edizione: | 1st ed. 2018. |
| Descrizione fisica: | 1 online resource (X, 201 p. 12 illus., 7 illus. in color.) |
| Disciplina: | 511.32 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Persona (resp. second.): | MuraiTetsuya |
| KudoYasuo | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Sommario/riassunto: | This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of rough set theory. Next, we examine some relations between rough set theory and non-classical logics including modal logic. We also develop a granularity-based framework for reasoning in which various types of reasoning can be formalized. This book will be of interest to researchers working on the areas in Artificial Intelligence, database and logic. |
| Titolo autorizzato: | Reasoning with Rough Sets |
| ISBN: | 3-319-72691-9 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910299579803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Intelligent Systems Reference Library, . 1868-4394 ; ; 142