Reasoning with Rough Sets | Logical Approaches to Granularity-Based Framework. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2018
Serie: Libro 113 di 188 - Intelligent Systems Reference Library
- Rilegato
- Nuovo
Da: preigu, Osnabrück, Germaniapreigu
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Descrizione dell’articolo da parte del venditore
Reasoning with Rough Sets | Logical Approaches to Granularity-Based Framework | Seiki Akama (u. a.) | Buch | Intelligent Systems Reference Library | x | Englisch | 2018 | Springer | EAN 9783319726908 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Codice articolo 111061331
- Titolo
- Reasoning with Rough Sets | Logical Approaches to Granularity-Based Framework
- Autore
- Seiki Akama (u. a.)
- Editore
- Springer
- Anno di pubblicazione
- 2018
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 3319726900
- ISBN 13
- 9783319726908
- Peso dell'articolo
- 489 grammi
- Dimensioni
- 241 x 160 x 18 mm
- Serie
- Libro 113 di 188: Intelligent Systems Reference Library
- Cataloghi dei venditori
- Bücher
This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of the rough set theory, then examines selected relations between rough set theory and non-classical logics including modal logic. In addition, it develops a granularity-based framework for reasoning in which various types of reasoning can be formalized. The book will be of interest to all researchers whose work involves Artificial Intelligence, databases and/or logic.
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Dalla quarta di copertina
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.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.