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

Akama, Seiki; Murai, Tetsuya; Kudo, Yasuo

ISBN 10: 3319726900 / ISBN 13: 9783319726908

Published by Springer, 2018

About this Item

Seller Inventory # I-9783319726908

Bibliographic Details

• Title: Reasoning with Rough Sets: Logical Approaches to Granularity-Based Framework (Intelligent Systems Reference Library, 142)
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319726900
• ISBN 13: 9783319726908
• Binding: Hardcover
• Condition: New

About this title

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.

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.