Items related to Reasoning with Rough Sets: Logical Approaches to Granularity...

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

Book 113 of 188: Intelligent Systems Reference Library

Akama, Seiki; Murai, Tetsuya; Kudo, Yasuo

 
9783319891958: Reasoning with Rough Sets: Logical Approaches to Granularity-Based Framework: 142 (Intelligent Systems Reference Library, 142)
Softcover
ISBN 10: 3319891952 ISBN 13: 9783319891958
Publisher: Springer, 2019

Synopsis

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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From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2019
Language
English
ISBN 10 
3319891952
ISBN 13 
9783319891958
Binding
Paperback
Number of pages
211