Skip to main content
  • Conference proceedings
  • © 2004

Rough Sets and Current Trends in Computing

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

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): RSCTC: International Conference on Rough Sets and Current Trends in Computing

Conference proceedings info: RSCTC 2004.

Buying options

eBook USD 84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

This is a preview of subscription content, access via your institution.

Table of contents (107 papers)

  1. Front Matter

  2. Plenary Papers

    1. Decision Networks

      • Zdzisław Pawlak
      Pages 1-7
  3. Logic and Rough Sets

    1. A Note on Ziarko’s Variable Precision Rough Set Model and Nonmonotonic Reasoning

      • Tetsuya Murai, Masayuki Sanada, Y. Kudo, Mineichi Kudo
      Pages 103-108
    2. Fuzzy Reasoning Based on Propositional Modal Logic

      • Zaiyue Zhang, Yuefei Sui, Cungen Cao
      Pages 109-115
  4. Granular Computing

    1. Approximation Spaces and Information Granulation

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

    1. On the Correspondence between Approximations and Similarity

      • Patrick Doherty, Andrzej Szałas
      Pages 143-152
    2. Toward Rough Knowledge Bases with Quantitative Measures

      • Aida Vitória, Carlos Viegas Damásio, Jan Małuszyński
      Pages 153-158
  6. Foundations of Data Mining

    1. Research on Integrating Ordbms and Rough Set Theory

      • HuiQin Sun, Zhang Xiong, Ye Wang
      Pages 169-175

Other Volumes

  1. Rough Sets and Current Trends in Computing

About this book

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.

Keywords

  • 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

  • Shimane University, Shimane, Japan

    Shusaku Tsumoto

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Roman Słowiński

  • The Linnaeus Centre for Bioinformatics, Uppsala University, Uppsala, Sweden

    Jan Komorowski

  • Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Jerzy W. Grzymała-Busse

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions