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

✍ Scribed by Seiki Akama,Tetsuya Murai,Yasuo Kudo (auth.)

• Publisher: Springer International Publishing
• Year: 2018
• Tongue: English
• Leaves: 210
• Series: Intelligent Systems Reference Library 142
• Edition: 1
• Category: Library

✦ 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.

✦ Table of Contents

Front Matter ....Pages i-x
Introduction (Seiki Akama, Tetsuya Murai, Yasuo Kudo)....Pages 1-6
Rough Set Theory (Seiki Akama, Tetsuya Murai, Yasuo Kudo)....Pages 7-50
Non-classical Logics (Seiki Akama, Tetsuya Murai, Yasuo Kudo)....Pages 51-84
Logical Characterizations of Rough Sets (Seiki Akama, Tetsuya Murai, Yasuo Kudo)....Pages 85-125
A Granularity-Based Framework of Reasoning (Seiki Akama, Tetsuya Murai, Yasuo Kudo)....Pages 127-181
Conclusions (Seiki Akama, Tetsuya Murai, Yasuo Kudo)....Pages 183-186
Back Matter ....Pages 187-201

✦ Subjects

Computational Intelligence