Rough Sets and Current Trends in Computing

4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004. Proceedings

  • Shusaku Tsumoto
  • Roman Słowiński
  • Jan Komorowski
  • Jerzy W. Grzymała-Busse

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3066)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3066)

Table of contents

  1. Front Matter
  2. Plenary Papers

    1. Zdzisław Pawlak
      Pages 1-7
  3. Theory

  4. Logic and Rough Sets

    1. Tetsuya Murai, Masayuki Sanada, Y. Kudo, Mineichi Kudo
      Pages 103-108
    2. Zaiyue Zhang, Yuefei Sui, Cungen Cao
      Pages 109-115
  5. Granular Computing

    1. Andrzej Skowron, Roman Swiniarski, Piotr Synak
      Pages 116-126
  6. Rough and Fuzzy Relations

  7. Foundations of Data Mining

    1. HuiQin Sun, Zhang Xiong, Ye Wang
      Pages 169-175

About these proceedings


In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.


Alignment Pattern Mining algorithms bioinformatics database decision making evolutionary algorithm evolutionary computing granular computing intelligent control modeling neural computing rough sets statistical inference uncertain reasoning

Editors and affiliations

  • Shusaku Tsumoto
    • 1
  • Roman Słowiński
    • 2
  • Jan Komorowski
    • 3
  • Jerzy W. Grzymała-Busse
    • 4
  1. 1.Shimane UniversityShimaneJapan
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  3. 3.The Linnaeus Centre for BioinformaticsUppsala UniversityUppsalaSweden
  4. 4.Institute of Computer SciencePolish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22117-3
  • Online ISBN 978-3-540-25929-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book