Rough Sets and Intelligent Systems Paradigms

International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007. Proceedings

ISBN: 978-3-540-73450-5 (Print) 978-3-540-73451-2 (Online)

Table of contents (86 chapters)

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  1. Front Matter

    Pages -

  2. Keynote Presentations

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      Book Chapter

      Pages 1-4

      Granular Computing and Rough Set Theory

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      Pages 5-11

      Dominance-Based Rough Set Approach to Reasoning About Ordinal Data

  3. Invited Papers

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      Pages 12-21

      Mining Numerical Data—A Rough Set Approach

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      Pages 22-28

      Rough Sets and Approximation Schemes

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      Pages 29-39

      Generalizing Data in Natural Language

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      Pages 40-50

      Hierarchical Rough Classifiers

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      Pages 51-56

      Discrete Duality and Its Applications to Reasoning with Incomplete Information

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      Pages 57-68

      Toward Approximate Adaptive Learning

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      Pages 69-79

      Granulation of Knowledge in Decision Systems: The Approach Based on Rough Inclusions. The Method and Its Applications

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      Pages 80-89

      MIRAI: Multi-hierarchical, FS-Tree Based Music Information Retrieval System

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      Pages 90-100

      Medical Reasoning and Rough Sets

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      Pages 101-112

      The Art of Granular Computing

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      Pages 113-121

      Dependencies in Structures of Decision Tables

  4. Foundations of Rough Sets

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      Pages 122-132

      Rough Sets and Vague Sets

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      Pages 133-141

      Consistency-Degree Between Knowledges

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      Pages 142-151

      On Three Closely Related Rough Inclusion Functions

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      Pages 152-161

      Rough Set Theory from a Math-Assistant Perspective

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      Pages 162-174

      Certain, Generalized Decision, and Membership Distribution Reducts Versus Functional Dependencies in Incomplete Systems

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      Pages 175-180

      On Covering Attribute Sets by Reducts

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      Book Chapter

      Pages 181-191

      Applying Rough Sets to Data Tables Containing Missing Values

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