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Lecture Notes in Artificial Intelligence

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

10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I

Editors: Slezak, D., Szczuka, M., Duentsch, I., Yao, Y. (Eds.)

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  • ISBN 978-3-540-31825-5
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About this book

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

Table of contents (75 chapters)

  • Rough Sets and Flow Graphs

    Pawlak, Zdzisław

    Pages 1-11

  • A Modal Characterization of Indiscernibility and Similarity Relations in Pawlak’s Information Systems

    Vakarelov, Dimiter

    Pages 12-22

  • Granular Computing with Shadowed Sets

    Pedrycz, Witold

    Pages 23-32

  • Rough Sets and Higher Order Vagueness

    Skowron, Andrzej (et al.)

    Pages 33-42

  • Approximation in Formal Concept Analysis

    Shao, Ming-Wen (et al.)

    Pages 43-53

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-540-31825-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $179.00
price for USA
  • ISBN 978-3-540-28653-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
Book Subtitle
10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I
Editors
  • Dominik Slezak
  • Marcin Szczuka
  • Ivo Duentsch
  • Yiyu Yao
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
3641
Copyright
2005
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-31825-5
DOI
10.1007/11548669
Softcover ISBN
978-3-540-28653-0
Edition Number
1
Number of Pages
XXIV, 748
Topics