Skip to main content
SpringerLink
Log in
Book cover

Rough Sets and Current Trends in Computing

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

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Shusaku Tsumoto

    1. Shimane University, Shimane, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Roman Słowiński

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Jan Komorowski

    1. The Linnaeus Centre for Bioinformatics, Uppsala University, Uppsala, Sweden

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Jerzy W. Grzymała-Busse

    1. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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)

Included in the following conference series:

Conference proceedings info: RSCTC 2004.

This is a preview of subscription content, log in via an institution to check access.

Access this book

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

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (107 papers)

  1. Front Matter

    Download chapter PDF

  2. Plenary Papers

    1. Decision Networks

      • Zdzisław Pawlak
      Pages 1-7

    2. Toward Rough Set Foundations. Mereological Approach

      • Lech Polkowski
      Pages 8-25

    3. Generalizations of Rough Sets: From Crisp to Fuzzy Cases

      • Masahiro Inuiguchi
      Pages 26-37

  4. Logic and Rough Sets

    1. Rough Truth, Consequence, Consistency and Belief Revision

      • Mohua Banerjee
      Pages 95-102

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

      • Tetsuya Murai, Masayuki Sanada, Y. Kudo, Mineichi Kudo
      Pages 103-108

    3. Fuzzy Reasoning Based on Propositional Modal Logic

      • Zaiyue Zhang, Yuefei Sui, Cungen Cao
      Pages 109-115

  5. Granular Computing

    1. Approximation Spaces and Information Granulation

      • Andrzej Skowron, Roman Swiniarski, Piotr Synak
      Pages 116-126

    2. Granular Language and Its Applications in Problem Solving

      • Qing Liu
      Pages 127-132

    3. Belief Reasoning, Revision and Fusion by Matrix Algebra

      • Churn-Jung Liau
      Pages 133-142

  6. 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

    3. Considering Semantic Ambiguity and Indistinguishability for Values of Membership Attribute in Possibility-Based Fuzzy Relational Models

      • Michinori Nakata
      Pages 159-168

  7. Foundations of Data Mining

    1. Research on Integrating Ordbms and Rough Set Theory

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

Other volumes

  1. Rough Sets and Current Trends in Computing

Keywords

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.

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

Publish with us

Policies and ethics

Back to top

Search

Navigation