Reasoning with Rough Sets: Logical Approaches to Granularity-Based Framework (Intelligent Systems Reference Library, Band 142) - Softcover

Akama, Seiki; Murai, Tetsuya; Kudo, Yasuo

Softcover

ISBN 10: 3319891952 ISBN 13: 9783319891958

Verlag: Springer, 2019

Inhaltsangabe

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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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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 3319891952
• ISBN 13: 9783319891958
• Einband: Taschenbuch
• Anzahl der Seiten: 212
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland