Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007. Proceedings

  • Aijun An
  • Jerzy Stefanowski
  • Sheela Ramanna
  • Cory J. Butz
  • Witold Pedrycz
  • Guoyin Wang
Conference proceedings RSFDGrC 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4482)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4482)

Table of contents

  1. Front Matter
  2. Invited Papers

    1. Andrzej Jankowski, Andrzej Skowron
      Pages 1-12
    2. Xuegang Hu, Junhua Shi, Xindong Wu
      Pages 37-46
  3. Fuzzy-Rough Hybridization

    1. Tingquan Deng, Yanmei Chen, Guanghong Gao
      Pages 47-54
    2. Tongjun Li, Jianmin Ma
      Pages 55-62
    3. Ju-Sheng Mi, Xiu-Min Li, Hui-Yin Zhao, Tao Feng
      Pages 63-70
    4. Alicja Mieszkowicz-Rolka, Leszek Rolka
      Pages 71-78
    5. Sheela Ramanna, Rajen Bhatt, Piotr Biernot
      Pages 79-86
    6. Chris Cornelis, Martine De Cock, Anna Maria Radzikowska
      Pages 87-94
  4. Fuzzy Sets

    1. Arijit De, Elizabeth D. Diaz, Vijay Raghavan
      Pages 95-102
    2. Chen Tao, Zhang Jinlong, Yu Benhai, Liu Shan
      Pages 103-110
    3. Branimir Šešelja, Andreja Tepavčević
      Pages 111-118
    4. Aslı Çelikyılmaz, I. Burhan Türkşen
      Pages 119-126
    5. Mohammad Hossein Fazel Zarandi, Elahe Neshat, I. Burhan Türkşen
      Pages 127-135
    6. Aslı Çelikyılmaz, I. Burhan Türkşen, Ramazan Aktaş, M. Mete Doğanay, N. Başak Ceylan
      Pages 136-143
  5. Soft Computing in Medical Image Processing

    1. Haegil Hwang, Hyekyoung Yoon, Hyunju Choi, Myounghee Kim, Heungkook Choi
      Pages 144-152
    2. Kwang-Baek Kim, Doo Heon Song, Young Woon Woo
      Pages 153-160
    3. Artur Przelaskowski, Pawel Bargiel, Katarzyna Sklinda, Elzbieta Zwierzynska
      Pages 171-181
  6. Soft Computing in Information Retrieval

    1. Yiyu Yao, Yi Zeng, Ning Zhong
      Pages 182-189
    2. Hans Ulrich Christensen, Daniel Ortiz-Arroyo
      Pages 199-207
  7. Clustering

    1. Carlos Ruiz, Myra Spiliopoulou, Ernestina Menasalvas
      Pages 216-223
    2. Dae-Jong Lee, Sang-Young Park, Nahm-Chung Jung, Myung-Geun Chun
      Pages 224-231
  8. Text and Web Mining

    1. Qiguo Duan, Duoqian Miao, Min Chen
      Pages 240-247
    2. Inbok Lee, Costas S. Iliopoulos, Syng-Yup Ohn
      Pages 248-255
    3. Tsau Young Lin, Tam Ngo
      Pages 256-262
  9. Learning, Data Mining and Rough Classifiers

    1. Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Zhang
      Pages 263-271
    2. Yuhua Qian, Jiye Liang
      Pages 272-279
    3. Hiroshi Sakai, Ryuji Ishibashi, Kazuhiro Koba, Michinori Nakata
      Pages 280-288
    4. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Agnieszka Kordek, Teresa Mroczek, Wojciech Podraza
      Pages 289-296
    5. Pawel Delimata, Mikhail Moshkov, Andrzej Skowron, Zbigniew Suraj
      Pages 297-304
    6. Jianchao Han, T. Y. Lin, Jiye Li, Nick Cercone
      Pages 305-313
    7. Salvatore Greco, Roman Słowiński, Jerzy Stefanowski
      Pages 314-321
    8. Angelina Tzacheva, Zbigniew W. Raś
      Pages 322-329
    9. Zbigniew W. Raś, Osman Gürdal, Seunghyun Im, Angelina Tzacheva
      Pages 330-337
    10. Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński
      Pages 338-345
    11. Tsau Young Lin, Jianchao Han
      Pages 346-354
    12. Grzegorz Ilczuk, Alicja Wakulicz-Deja
      Pages 371-378
    13. Xueshen Sui, Qinghua Hu, Daren Yu, Zongxia Xie, Zhongying Qi
      Pages 387-394
  10. Granular Computing

About these proceedings


This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14–16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery,softandgranularcomputing,dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst - ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular Computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China.


Fuzzy algoriithmic learning algorithms cognition data mining data model evolutionary computing expert system fuzzy logic fuzzy sets granular computing image analysis intelligent syst logic robot

Editors and affiliations

  • Aijun An
    • 1
  • Jerzy Stefanowski
    • 2
  • Sheela Ramanna
    • 3
  • Cory J. Butz
    • 4
  • Witold Pedrycz
    • 5
  • Guoyin Wang
    • 6
  1. 1.Dept. of Computer Science and EngineeringYork UniversityTorontoCanada
  2. 2.Institute of Computing SciencesPoznań University of TechnologyPoznańPoland
  3. 3.Department of Applied Computer ScienceUniversity of WinnipegWinnipegCanada
  4. 4.Department of Computer ScienceUniversity of ReginaReginaCanada
  5. 5.Department of Electrical and Computer EngineeringUniversity of AlbertaEdmontonCanada
  6. 6.Institute of Compuer Science and TechnologyChongqing University of Posts and TelecommunicationsChongqingP.R. China

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-540-72529-9
  • Online ISBN 978-3-540-72530-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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