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Rough Sets, Fuzzy Sets and Knowledge Discovery

Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD’93), Banff, Alberta, Canada, 12–15 October 1993

  • Wojciech P. Ziarko

Part of the Workshops in Computing book series (WORKSHOPS COMP.)

Table of contents

  1. Front Matter
    Pages i-x
  2. Rokia Missaoui, Robert Godin
    Pages 16-23
  3. G. Deon Oosthuizen
    Pages 24-31
  4. Nick Cercone, Paul McFetridge, Jiawei Han, Fred Popowich
    Pages 32-43
  5. Walter A. Sedelow Jr., Sally Yeates Sedelow
    Pages 52-61
  6. Y. Xiang, S. K. M. Wong, N. Cercone
    Pages 63-73
  7. Vijay V. Raghavan, Hayri Sever, Jitender S. Deogun
    Pages 82-89
  8. Theresa Beaubouef, Frederick E. Petry
    Pages 100-107
  9. Andrzej Skowron
    Pages 108-118
  10. Zdzislaw Pawlak
    Pages 130-135
  11. J. A. Pomykala, E. de Haas
    Pages 149-156
  12. Marek Chuchro
    Pages 157-160
  13. Andrzej Skowron, Jaroslaw Stepaniuk
    Pages 161-166
  14. Jack David Katzberg, Wojciech Ziarko
    Pages 167-177
  15. Y. Y. Yao, Xining Li
    Pages 178-185
  16. Mohua Banerjee, M. K. Chakraborty
    Pages 196-207
  17. Edward Bryniarski
    Pages 208-216
  18. S. K. M. Wong, Xiaopin Nie
    Pages 217-226
  19. Piotr Sapiecha
    Pages 237-241
  20. Zbigniew Bonikowski
    Pages 242-247
  21. Robert E. Kent
    Pages 248-255
  22. Marzena Kryszkiewicz, Henryk Rybinski
    Pages 261-273
  23. Shusaku Tsumoto, Hiroshi Tanaka
    Pages 274-281
  24. Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse
    Pages 282-289
  25. Shusaku Tsumoto, Hiroshi Tanaka
    Pages 290-297
  26. Andrzej Lenarcik, Zdzisław Piasta
    Pages 298-316
  27. Jerzy Stefanowski, Daniel Vanderpooten
    Pages 317-325
  28. Mikhail Moshkov
    Pages 335-342
  29. T. Y. Lin
    Pages 343-348
  30. Michael Hadjimichael, S. K. Michael Wong
    Pages 349-356
  31. Hasan M. Jamil, Fereidoon Sadri
    Pages 357-365
  32. Roman Słowiński, Jerzy Stefanowski
    Pages 366-376
  33. Zbigniew M. Wojcik
    Pages 377-386
  34. Zbigniew M. Wojcik
    Pages 403-411

About these proceedings

Introduction

The objective of this book is two-fold. Firstly, it is aimed at bringing to­ gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisition, and others. This spectrum of applications is reflected in this book where articles, although centered around knowledge discovery problems, touch a number of related issues. The book is intended to provide an important reference material for students, researchers, and developers working in the areas of knowledge discovery, machine learning, reasoning with uncertainty, adaptive expert systems, and pattern classification.

Keywords

Extension cognition decision problem decision support expert system fuzzy sets image processing image segmentation knowledge knowledge base knowledge discovery learning machine learning neural networks uncertain reasoning

Editors and affiliations

  • Wojciech P. Ziarko
    • 1
  1. 1.Department of Computer ScienceUniversity of ReginaReginaCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-3238-7
  • Copyright Information Springer-Verlag London 1994
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-19885-7
  • Online ISBN 978-1-4471-3238-7
  • Series Print ISSN 1431-1682
  • Buy this book on publisher's site
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