Custom cover image
Custom cover image

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

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Intelligent Systems Reference Library ; 142 | SpringerLink Bücher | Springer eBook Collection EngineeringPublisher: Cham : Springer, 2018Description: Online-Ressource (X, 201 p. 12 illus., 7 illus. in color, online resource)ISBN:
  • 9783319726915
Subject(s): Additional physical formats: 9783319726908 | Erscheint auch als: 978-3-319-72690-8 Druck-Ausgabe | Printed edition: 9783319726908 MSC: MSC: *03-02 | 03E72 | 03B52 | 68T37LOC classification:
  • Q342
DOI: DOI: 10.1007/978-3-319-72691-5Online resources: Summary: 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
No physical items for this record
KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT

Powered by Koha