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Reasoning with Rough Sets : Logical Approaches to Granularity-Based Framework / by Seiki Akama, Tetsuya Murai, Yasuo Kudo

Von: Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Intelligent Systems Reference Library ; 142 | SpringerLink Bücher | Springer eBook Collection EngineeringVerlag: Cham : Springer, 2018Beschreibung: Online-Ressource (X, 201 p. 12 illus., 7 illus. in color, online resource)ISBN:
  • 9783319726915
Schlagwörter: Andere physische Formen: 9783319726908 | Erscheint auch als: 978-3-319-72690-8 Druck-Ausgabe | Printed edition: 9783319726908 MSC: MSC: *03-02 | 03E72 | 03B52 | 68T37LOC-Klassifikation:
  • Q342
DOI: DOI: 10.1007/978-3-319-72691-5Online-Ressourcen: Zusammenfassung: 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 logicPPN: PPN: 1658622863Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE
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