Rough Sets and Intelligent Systems Paradigms

International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007. Proceedings

  • Editors
  • Marzena Kryszkiewicz
  • James F. Peters
  • Henryk Rybinski
  • Andrzej Skowron
Conference proceedings RSEISP 2007
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4585)

Table of contents

  1. Front Matter
    PDF

  2. Keynote Presentations

    1. Granular Computing and Rough Set Theory
      Lotfi A. Zadeh
      Pages 1-4
    2. Dominance-Based Rough Set Approach to Reasoning About Ordinal Data
      Roman Słowiński, Salvatore Greco, Benedetto Matarazzo
      Pages 5-11

  3. Invited Papers

    1. Mining Numerical Data—A Rough Set Approach
      Jerzy W. Grzymala-Busse
      Pages 12-21
    2. Rough Sets and Approximation Schemes
      Victor W. Marek, Mirosław Truszczynski
      Pages 22-28
    3. Generalizing Data in Natural Language
      Ryszard S. Michalski, Janusz Wojtusiak
      Pages 29-39
    4. Hierarchical Rough Classifiers
      Sinh Hoa Nguyen, Hung Son Nguyen
      Pages 40-50
    5. Discrete Duality and Its Applications to Reasoning with Incomplete Information
      Ewa Orłowska, Ingrid Rewitzky
      Pages 51-56
    6. Toward Approximate Adaptive Learning
      James F. Peters
      Pages 57-68
    7. Granulation of Knowledge in Decision Systems: The Approach Based on Rough Inclusions. The Method and Its Applications
      Lech Polkowski
      Pages 69-79
    8. MIRAI: Multi-hierarchical, FS-Tree Based Music Information Retrieval System
      Zbigniew W. Raś, Xin Zhang, Rory Lewis
      Pages 80-89
    9. Medical Reasoning and Rough Sets
      Shusaku Tsumoto
      Pages 90-100
    10. The Art of Granular Computing
      Yiyu Yao
      Pages 101-112
    11. Dependencies in Structures of Decision Tables
      Wojciech Ziarko
      Pages 113-121

  4. Foundations of Rough Sets

    1. Rough Sets and Vague Sets
      Zbigniew Bonikowski, Urszula Wybraniec-Skardowska
      Pages 122-132
    2. Consistency-Degree Between Knowledges
      M. K. Chakraborty, P. Samanta
      Pages 133-141
    3. On Three Closely Related Rough Inclusion Functions
      Anna Gomolińska
      Pages 142-151
    4. Rough Set Theory from a Math-Assistant Perspective
      Adam Grabowski, Magdalena Jastrzȩbska
      Pages 152-161
    5. Certain, Generalized Decision, and Membership Distribution Reducts Versus Functional Dependencies in Incomplete Systems
      Marzena Kryszkiewicz
      Pages 162-174
    6. On Covering Attribute Sets by Reducts
      Mikhail Ju. Moshkov, Andrzej Skowron, Zbigniew Suraj
      Pages 175-180

About these proceedings

Keywords

Spam adaptive learning algorithmic learning approximation association mining attribute reducts bioinformatics case-based reasoning classification data mining decision making fuzzy sets machine learning natural language neural network

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-73451-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-73450-5
  • Online ISBN 978-3-540-73451-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349