Reasoning with Rough Sets: Logical Approaches to Granularity-Based Framework: 142 - Rilegato

Akama, Seiki; Murai, Tetsuya; Kudo, Yasuo

Rilegato

ISBN 10: 3319726900 ISBN 13: 9783319726908

Casa editrice: Springer-Nature New York Inc, 2018

Riassunto

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.

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 3319726900
• ISBN 13: 9783319726908
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 201
• Contatto del produttore: GPSR Kontakt; ProductSafety@springernature.com; ; Tiergartenstr. 17; Heidelberg; 69121; Germania