Reasoning with Rough Sets - Logical Approaches to Granularity-Based Framework

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.

Sommario

Introduction.- Rough Set Theory.- Non-Classical Logics.- Logical Characterizations of Rough Sets.- A Granularity-based Framework of Reasoning.- Conclusions.

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.

Dettagli sul prodotto

• Autori: Seik Akama, Seiki Akama, Yasuo Kudo, Tetsuy Murai, Tetsuya Murai
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.01.2019
• EAN: 9783319891958
• ISBN: 978-3-31-989195-8
• Pagine: 201
• Dimensioni: 155 mm x 235 mm x 11 mm
• Peso: 330 g
• Illustrazioni: X, 201 p. 12 illus., 7 illus. in color.
• Serie: Intelligent Systems Reference Library; Intelligent Systems Reference Library
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie; B, Artificial Intelligence, engineering, Computational Intelligence