New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

7th International Workshop, RSFDGrC’99, Yamaguchi, Japan, November 9-11, 1999. Proceedings

  • Ning Zhong
  • Andrzej Skowron
  • Setsuo Ohsuga
Conference proceedings RSFDGrC 1999

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1711)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1711)

Table of contents

  1. Front Matter
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  2. Invited Talks

    1. Decision Rules, Bayes’ Rule and Rough Sets
      Zdzisław Pawlak
      Pages 1-9
    2. A New Direction in System Analysis: From Computation with Measurements to Computation with Perceptions
      Lotfi A. Zadeh
      Pages 10-11
    3. On Text Mining Techniques for Personalization
      Charu C. Aggarwal, Philip S. Yu
      Pages 12-18
    4. A Road to Discovery Science
      Setsuo Arikawa
      Pages 19-19

  3. Rough Computing: Foundations and Applications

    1. Calculi of Granules Based on Rough Set Theory: Approximate Distributed Synthesis and Granular Semantics for Computing with Words
      Lech Polkowski, Andrzej Skowron
      Pages 20-28
    2. Discovery of Rules about Complications
      Shusaku Tsumoto
      Pages 29-37
    3. Rough Genetic Algorithms
      Pawan Lingras, Cedric Davies
      Pages 38-46
    4. Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach
      L. Han, J. F. Peters, S. Ramanna, R. Zhai
      Pages 47-54

  4. Rough Set Theory and Its Applications

    1. Toward Spatial Reasoning in the Framework of Rough Mereology
      Lech Polkowski
      Pages 55-63
    2. An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information
      Hiroshi Sakai, Akimichi Okuma
      Pages 64-72
    3. On the Extension of Rough Sets under Incomplete Information
      Jerzy Stefanowski, Alexis Tsoukiàs
      Pages 73-81
    4. On Rough Relations: An Alternative Formulation
      Y. Y. Yao, Tao Wang
      Pages 82-90
    5. Formal Rough Concept Analysis
      Jamil Saquer, Jitender S. Deogun
      Pages 91-99
    6. Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networks
      Rafal Krolikowski, Andrzej Czyzewski
      Pages 100-108
    7. Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits in Cochlear Implanted Patients
      Andrzej Czyzewski, Hemyk Skarzynski, Bozena Kostek, Rafal Krolikowski
      Pages 109-117
    8. A Rough Set-Based Approach to Text Classification
      Alexios Chouchoulas, Qiang Shen
      Pages 118-127
    9. Modular Rough Fuzzy MLP: Evolutionary Design
      Pabitra Mitra, Sushmita Mitra, Sankar K. Pal
      Pages 128-136
    10. Approximate Reducts and Association Rules
      Hung Son Nguyen, Dominik Ślęzak
      Pages 137-145
    11. Handling Missing Values in Rough Set Analysis of Multi-attribute and Multi-criteria Decision Problems
      Salvatore Greco, Benedetto Matarazzo, Roman Słowinski
      Pages 146-157

About these proceedings

Keywords

agents data mining fuzzy knowledge knowledge discovery learning logic machine learning set theory

Editors and affiliations

  • Ning Zhong
    • 1
  • Andrzej Skowron
    • 2
  • Setsuo Ohsuga
    • 3
  1. 1.The International WIC InstituteBeijing University of TechnologyChina
  2. 2.Institute of MathematicsWarsaw UniversityWarsawPoland
  3. 3.Professor EmeritusUniversity of Tokyo 

Bibliographic information

  • DOI https://doi.org/10.1007/b72293
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66645-5
  • Online ISBN 978-3-540-48061-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book