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Topics in Rough Set Theory

Current Applications to Granular Computing

  • Seiki Akama
  • Yasuo Kudo
  • Tetsuya Murai

Part of the Intelligent Systems Reference Library book series (ISRL, volume 168)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Seiki Akama, Yasuo Kudo, Tetsuya Murai
    Pages 1-5
  3. Seiki Akama, Yasuo Kudo, Tetsuya Murai
    Pages 7-60
  4. Seiki Akama, Yasuo Kudo, Tetsuya Murai
    Pages 61-70
  5. Seiki Akama, Yasuo Kudo, Tetsuya Murai
    Pages 81-99
  6. Seiki Akama, Yasuo Kudo, Tetsuya Murai
    Pages 129-140
  7. Seiki Akama, Yasuo Kudo, Tetsuya Murai
    Pages 161-172
  8. Seiki Akama, Yasuo Kudo, Tetsuya Murai
    Pages 173-185
  9. Seiki Akama, Yasuo Kudo, Tetsuya Murai
    Pages 187-198
  10. Back Matter
    Pages 199-201

About this book

Introduction

This book discusses current topics in rough set theory.  Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.

Keywords

Intelligent Systems Rough Set theory Granularity Computing Recommendation Systems Granular Computing

Authors and affiliations

  • Seiki Akama
    • 1
  • Yasuo Kudo
    • 2
  • Tetsuya Murai
    • 3
  1. 1.C-RepublicKawasakiJapan
  2. 2.Muroran Institute of TechnologyMuroranJapan
  3. 3.Chitose Institute of Science and TechnologyChitoseJapan

Bibliographic information

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