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Rough Set Theory and Granular Computing

  • Masahiro Inuiguchi
  • Shoji Hirano
  • Shusaku Tsumoto

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 125)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Bayes’ Theorem — the Rough Set Perspective

  3. Approximation Spaces in Rough Neurocomputing

    1. Andrzej Skowron
      Pages 13-22
  4. Soft Computing Pattern Recognition: Principles, Integrations and Data Mining

  5. Generalizations and New Theories

    1. Front Matter
      Pages 35-35
    2. Rolly Intan, Y. Y. Yao, Masao Mukaidono
      Pages 37-46
    3. Masahiro Inuiguchi, Tetsuzo Tanino
      Pages 47-57
    4. Sadaaki Miyamoto
      Pages 59-68
    5. Hideo Tanaka, Kazutomi Sugihara, Yutaka Maeda
      Pages 69-78
    6. Lech Polkowski
      Pages 79-87
    7. Tetsuya Murai, Michinori Nakata, Yoshiharu Sato
      Pages 89-96
    8. Andrzej Skowron, Jarosław Stepaniuk, James F. Peters
      Pages 97-108
  6. Data Mining and Rough Sets

    1. Front Matter
      Pages 123-123
    2. Y. Y. Yao
      Pages 125-135
    3. Tetsuya Murai, Michinori Nakata, Yoshiharu Sato
      Pages 137-145
    4. Yasser Hassan, Eiichiro Tazaki
      Pages 197-207
  7. Conflict Analysis and Data Analysis

    1. Front Matter
      Pages 209-209
    2. Rafał Deja
      Pages 211-221
    3. Sadaaki Miyamoto, Takatsugu Koga, Yoichi Nakayama
      Pages 233-242
    4. Tomoe Entani, Hidetomo Ichihashi, Hideo Tanaka
      Pages 251-260
  8. Applications in Engineering

    1. Front Matter
      Pages 261-261
    2. Z. Pawlak, J. F. Peters, A. Skowron, Z. Suraj, S. Ramanna, M. Borkowski
      Pages 263-272
    3. Akinori Kanasugi
      Pages 273-280
    4. Yoshiyuki Shinkawa, Masao J. Matsumoto
      Pages 281-290
    5. Marcin S. Szczuka, Nguyen Hung Son
      Pages 291-300

About this book

Introduction

After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developments in this area and gives fair picture of the state of the art in this domain. Firstly, in the keynote papers by Zdzislaw Pawlak, Andrzej Skowron and Sankar K. Pal the relationship of rough sets with other important methods of data analysis -Bayes theorem, neuro computing and pattern recognitio- is thoroughly examined. Next, several interesting generalizations of the the­ ory and new directions of research are presented. Furthermore application of rough sets in data mining, in particular, rule induction methods based on rough set theory is presented and discussed. Further important issue dis­ cussed in the monograph is rough set based data analysis, including study of decisions making in conflict situations. Last but not least, some recent engi­ neering applications of rough set theory are given. They include a proposal of rough set processor architecture organization for fast implementation of ba­ sic rough set operations and discussion of results concerning advanced image processing for unmanned aerial vehicle. Thus the monograph beside presenting wide spectrum of ongoing research in this area also points out new emerging areas of study and applications, which makes it a valuable source of information to all interested in this do­ main.

Keywords

algorithms architecture calculus clustering data analysis data mining fuzzy image processing information system linear optimization logic model pattern recognition programming sets

Editors and affiliations

  • Masahiro Inuiguchi
    • 1
  • Shoji Hirano
    • 2
  • Shusaku Tsumoto
    • 2
  1. 1.Graduate School of EngineeringOsaka UniversityOsakaJapan
  2. 2.Shimane Medical UniversityIzumo, Shimane-kenJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-36473-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05614-7
  • Online ISBN 978-3-540-36473-3
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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