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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Guoyin Wang

    1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China

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  2. Qing Liu

    1. Department of Computer Science, Nanchang University, Nanchang, P.R. China

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  3. Yiyu Yao

    1. Department of Computer Science, University of Regina, Regina, Canada

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  4. Andrzej Skowron

    1. Institute of Mathematics, Warsaw University, Warsaw, Poland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2639)

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

Included in the following conference series:

Conference proceedings info: RSFDGrC 2003.

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Table of contents (127 papers)

  1. Front Matter

    Pages I-XVII
    Download chapter PDF

  2. Keynote Papers

    1. Flow Graphs and Decision Algorithms

      • ZdzisÅ‚aw Pawlak
      Pages 1-10

    2. The Quotient Space Theory of Problem Solving

      • Ling Zhang, Bo Zhang
      Pages 11-15

  3. Plenary Papers

    1. Granular Computing

      • Tsau Young Lin
      Pages 16-24

    2. Rough Sets: Trends and Challenges

      • Andrzej Skowron, James F. Peters
      Pages 25-34

    3. A New Development on ANN in China — Biomimetic Pattern Recognition and Multi Weight Vector Neurons

      • Shoujue Wang
      Pages 35-43

    4. On Generalizing Rough Set Theory

      • Y. Y. Yao
      Pages 44-51

    5. Dual Mathematical Models Based on Rough Approximations in Data Analysis

      • Hideo Tanaka
      Pages 52-59

    6. Knowledge Theory: Outline and Impact

      • Y. X. Zhong
      Pages 60-69

    7. A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory

      • Lech Polkowski
      Pages 70-77

    8. Extracting Structure of Medical Diagnosis: Rough Set Approach

      • Shusaku Tsumoto
      Pages 78-88

    9. A Kind of Linearization Method in Fuzzy Control System Modeling

      • Hongxing Li, Jiayin Wang, Zhihong Miao
      Pages 89-98

    10. A Common Framework for Rough Sets, Databases, and Bayesian Networks

      • S. K. M. Wong, D. Wu
      Pages 99-103

    11. Rough Sets, EM Algorithm, MST and Multispectral Image Segmentation

      • Sankar K. Pal, Pabitra Mitra
      Pages 104-105

  4. Rough Sets Foundations and Methods

    1. Rough Mereology: A Survey of New Developments with Applications to Granular Computing, Spatial Reasoning and Computing with Words

      • Lech Polkowski
      Pages 106-113

    2. A New Rough Sets Model Based on Database Systems

      • Xiaohua Tony Hu, T. Y. Lin, Jianchao Han
      Pages 114-121

    3. A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm

      • Zheng Zheng, Guoyin Wang, Yu Wu
      Pages 122-129

    4. Comparison of Conventional and Rough K-Means Clustering

      • Pawan Lingras, Rui Yan, Chad West
      Pages 130-137

    5. An Application of Rough Sets to Monk’s Problems Solving

      • Duoqian Miao, Lishan Hou
      Pages 138-145

    6. Pre-topologies and Dynamic Spaces

      • Piero Pagliani
      Pages 146-155
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  1. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

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About this book

This volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26–29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster presentation papers (each allotted 4 pages) on the basis of reviewer evaluations. Each paper was reviewed by three referees. The conference is a continuation and expansion of the International Workshops on Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in cooperative work aimed at new hybrid paradigms. It is our great pleasure to dedicate this volume to Prof. Zdzislaw Pawlak, who first introduced the basic ideas and definitions of rough sets theory over 20 years ago.

Editors and Affiliations

  • Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China

    Guoyin Wang

  • Department of Computer Science, Nanchang University, Nanchang, P.R. China

    Qing Liu

  • Department of Computer Science, University of Regina, Regina, Canada

    Yiyu Yao

  • Institute of Mathematics, Warsaw University, Warsaw, Poland

    Andrzej Skowron

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