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© 2018

Reasoning with Rough Sets

Logical Approaches to Granularity-Based Framework

Book

Part of the Intelligent Systems Reference Library book series (ISRL, volume 142)

Table of contents

  1. Front Matter
    Pages i-x
  2. Seiki Akama, Tetsuya Murai, Yasuo Kudo
    Pages 1-6
  3. Seiki Akama, Tetsuya Murai, Yasuo Kudo
    Pages 7-50
  4. Seiki Akama, Tetsuya Murai, Yasuo Kudo
    Pages 51-84
  5. Seiki Akama, Tetsuya Murai, Yasuo Kudo
    Pages 85-125
  6. Seiki Akama, Tetsuya Murai, Yasuo Kudo
    Pages 127-181
  7. Seiki Akama, Tetsuya Murai, Yasuo Kudo
    Pages 183-186
  8. Back Matter
    Pages 187-201

About this book

Introduction

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.

Keywords

Rough Set Theory Non-classical Logics Granularity-based Framework for Reasoning Intelligent Systems Computational Intelligence

Authors and affiliations

  1. 1.Kawasaki-shiJapan
  2. 2.Chitose Institute of Science and Technology ChitoseJapan
  3. 3.Muroran Institute of TechnologyMuroranJapan

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
  • Series Abbreviated Title Intel.Syst.Ref.Library
  • DOI https://doi.org/10.1007/978-3-319-72691-5
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-72690-8
  • Softcover ISBN 978-3-319-89195-8
  • eBook ISBN 978-3-319-72691-5
  • 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
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site