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Reasoning with Rough Sets

Logical Approaches to Granularity-Based Framework

  • Seiki Akama
  • Tetsuya Murai
  • Yasuo Kudo

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

  • Seiki Akama
    • 1
  • Tetsuya Murai
    • 2
  • Yasuo Kudo
    • 3
  1. 1.Kawasaki-shiJapan
  2. 2.Chitose Institute of Science and Technology ChitoseJapan
  3. 3.Muroran Institute of TechnologyMuroranJapan

Bibliographic information

  • 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
  • Print ISBN 978-3-319-72690-8
  • Online ISBN 978-3-319-72691-5
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site