Overview
- Explores reasoning with rough sets by developing a granularity-based framework
- Includes a brief description of the rough set theory
- Examines the relations between rough set theory and nonclassical logics including modal logic
- Develops a granularity-based framework for reasoning in which various types of reasoning can be formalized
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 142)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Reasoning with Rough Sets
Book Subtitle: Logical Approaches to Granularity-Based Framework
Authors: Seiki Akama, Tetsuya Murai, Yasuo Kudo
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-72691-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-72690-8Published: 31 January 2018
Softcover ISBN: 978-3-319-89195-8Published: 06 June 2019
eBook ISBN: 978-3-319-72691-5Published: 30 December 2017
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: X, 201
Number of Illustrations: 5 b/w illustrations, 7 illustrations in colour