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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
    12. The Generic Rough Set Inductive Logic Programming Model and Motifs in Strings
      Arul Siromoney, K. Inoue
      Pages 158-167
    13. Rough Problem Settings for Inductive Logic Programming
      Chunnian Liu, Ning Zhong
      Pages 168-177
    14. Using Rough Sets with Heuristics for Feature Selection
      Juzhen Dong, Ning Zhong, Setsuo Ohsuga
      Pages 178-187
    15. The Discretization of Continuous Attributes Based on Compatibility Rough Set and Genetic Algorithm
      Lixin Sun, Wen Gao
      Pages 188-192

  5. Fuzzy Set Theory and Its Applications

    1. Level Cut Conditioning Approach to the Necessity Measure Specification
      Masahiro Inuiguchi, Tetsuzo Tanino
      Pages 193-202
    2. Four c-Regression Methods and Classification Functions
      S. Miyamoto, K. Umayahara, T. Nemoto
      Pages 203-211
    3. Context-Free Fuzzy Sets in Data Mining Context
      Shusaku Tsumoto, T. Y. Lin
      Pages 212-220
    4. Applying Fuzzy Hypothesis Testing to Medical Data
      Mark Last, Adam Schenker, Abraham Kandel
      Pages 221-229
    5. Generating a Macroeconomic Fuzzy Forecasting System Using Evolutionary Search
      Raouf Veliev, Alex Rubinov, Andrew Stranieri
      Pages 230-238
    6. Fuzzy Control of Nonlinear Systems Using Nonlinearized Parameterization
      Hugang Han, Hiroko Kawabata
      Pages 239-247
    7. Control of Chaotic Systems Using Fuzzy Model-Based Regulators
      Keigo Watanabe, Lanka Udawatta, Kazuo Kiguchi, Kiyotaka Izumi
      Pages 248-256
    8. Fuzzy Behavior-Based Control for the Obstacle Avoidance of Multi-link Manipulators
      Palitha Dassanayake, Keigo Watanabe, Kiyotaka Izumi
      Pages 257-265
    9. Fuzzy Future Value and Annual Cash Flow Analyses
      Nihan Çetin, Cengiz Kahraman
      Pages 266-270
    10. Semi-linear Equation with Fuzzy Parameters
      Said Melliani
      Pages 271-275

  6. Non-classical Logic and Approximate Reasoning

    1. First Order Rough Logic-Revisited
      T. Y. Lin, Qing Liu
      Pages 276-284
    2. A Generalized Decision Logic in Interval-Set-Valued Information Tables
      Y. Y. Yao, Qing Liu
      Pages 285-293
    3. Many-Valued Dynamic Logic for Qualitative Decision Theory
      Churn-Jung Liau
      Pages 294-303
    4. Incorporating Fuzzy Set Theory and Matrix Logic in Multi-layer Logic
      Hiroyuki Yamauchi, Setsuo Ohsuga
      Pages 304-313
    5. Fuzzy Logic as Interfacing Media for Constraint Propagation Based on Theories of Chu Space and Information Flow
      Ken Sato, Tadashi Horiuchi, Toshihiro Hiraoka, Hiroshi Kawakami, Osamu Katai
      Pages 314-323
    6. Pattern Reasoning: A New Solution for Knowledge Acquisition Problem
      Hiroshi Tsukimoto
      Pages 324-333
    7. Probabilistic Inference and Bayesian Theorem Based on Logical Implication
      Yukari Yamauchi, Masao Mukaidono
      Pages 334-342
    8. Reasoning with Neural Logic Networks
      Ramin Yasdi
      Pages 343-351
    9. The Resolution for Rough Propositional Logic with Lower (L) and Upper (H) Approximate Operators
      Qing Liu
      Pages 352-356

  7. Information Granulation and Granular Computing

    1. Information Granules in Distributed Environment
      Andrzej Skowron, Jaroslaw Stepaniuk
      Pages 357-365
    2. Evolving Granules for Classification for Discovering Difference in the Usage of Words
      Tetsuya Yoshida, Teruyuki Kondo, Shogo Nishida
      Pages 366-374
    3. Interval Evaluation by AHP with Rough Set Concept
      Kazutomi Sugihara, Yutaka Maeda, Hideo Tanaka
      Pages 375-381
    4. Interval Density Functions in Conflict Analysis
      Yutaka Maeda, Kazuya Senoo, Hideo Tanaka
      Pages 382-389
    5. Incorporating Personal Database Unification by Granular Computing
      Yoshitsugu Kakemoto
      Pages 390-394

  8. Data Mining and Knowledge Discovery

    1. Knowledge-Driven Discovery of Operational Definitions
      Jan M. Żytkow
      Pages 395-404
    2. A Closest Fit Approach to Missing Attribute Values in Preterm Birth Data
      Jerzy W. Grzymała-Busse, Witold J. Grzymała-Busse, Linda K. Goodwin
      Pages 405-413

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
  • Buy this book on publisher's site