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.

List of contents

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

Summary

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.

Product details

• Authors: Seik Akama, Seiki Akama, Yasuo Kudo, Tetsuy Murai, Tetsuya Murai
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2018
• EAN: 9783319726908
• ISBN: 978-3-31-972690-8
• No. of pages: 201
• Dimensions: 161 mm x 241 mm x 18 mm
• Weight: 432 g
• Illustrations: X, 201 p. 12 illus., 7 illus. in color.
• Series: Intelligent Systems Reference Library; Intelligent Systems Reference Library
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Artificial Intelligence, engineering, Computational Intelligence