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Rough Set Methods and Applications

New Developments in Knowledge Discovery in Information Systems

  • Lech Polkowski
  • Shusaku Tsumoto
  • Tsau Y. Lin

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 56)

Table of contents

  1. Front Matter
    Pages I-X
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Lech Polkowski, Shusaku Tsumoto, Tsau Y. Lin
      Pages 3-7
  3. Methods and Applications: Reducts, Similarity, Mereology

    1. Front Matter
      Pages 47-47
    2. Jan G. Bazan, Hung Son Nguyen, Sinh Hoa Nguyen, Piotr Synak, Jakub Wróblewski
      Pages 49-88
  4. Methods and Applications: Regular Pattern Extraction, Concurrency

  5. Methods and Applications: Algebraic and Statistical Aspects, Conflicts, Incompleteness

    1. Front Matter
      Pages 489-489
    2. Rafal Deja
      Pages 491-519
    3. Ivo Düntsch, Günther Gediga
      Pages 521-544
    4. Günther Gediga, Ivo Düntsch
      Pages 545-565
    5. Marzena Kryszkiewicz, Henryk Rybiński
      Pages 567-580
  6. Afterword

    1. Front Matter
      Pages 581-581
    2. Zdzisław Pawlak, Lech Polkowski, Andrzej Skowron
      Pages 583-646
  7. Back Matter
    Pages 647-683

About this book

Introduction

Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.

Keywords

Knowledge Discovery Knowledge Representation Rough Sets classification data mining information system uncertainty

Editors and affiliations

  • Lech Polkowski
    • 1
  • Shusaku Tsumoto
    • 2
  • Tsau Y. Lin
    • 3
  1. 1.Department of Mathematics and Information SciencesWarsaw University of TechnologyWarsawPoland
  2. 2.Department of Medical InformaticsShinmane Medical UniversityIzumo City, ShimaneJapan
  3. 3.Department of Mathematics and Computer ScienceSan Jose State UniversitySan JoseUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1840-6
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-00376-3
  • Online ISBN 978-3-7908-1840-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site