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Computational Intelligence in Theory and Practice

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Bernd Reusch

    1. University of Dortmund, Dortmund, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Karl-Heinz Temme

    1. University of Dortmund, Dortmund, Germany

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 8)

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Table of contents (13 papers)

  1. Front Matter

    Pages I-VIII
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  2. Fuzzy Logic Theory

    1. A Fuzzy Set Approach to Case-Based Decision

      • Didier Dubois, Henri Prade
      Pages 1-13

    2. Proof Theory of Many-Valued Logic and Linear Optimization

      • Reiner Hähnle
      Pages 15-33

    3. Triangular Norms — An Overview

      • Radko Mesiar
      Pages 35-54

  4. Fuzzy Clustering

    1. Probalistic Networks and Fuzzy Clustering as Generalizations of Naive Bayes Classifiers

      • Christian Borgelt, Heiko Timm, Rudolf Kruse
      Pages 121-138

    2. Granular Computing in Fuzzy Modeling and Data Mining

      • Witold Pedrycz
      Pages 139-166

    3. Evolutionary Computation and Mathematical Programming

      • Fernando Jiménez, José L. Verdegay
      Pages 167-182

    4. Genetic Optimization of Fuzzy Classification Systems — A Case Study

      • Ulrich Bodenhofer, Erich Peter Klement
      Pages 183-200

  5. Fuzzy Data Models and Bases

    1. Graduality and Databases: Some Contributions of Fuzzy Sets

      • Patrick Bosc
      Pages 201-219

    2. Fuzzy Retrieval of Object-Oriented Software Components

      • Ernesto Damiani
      Pages 221-233

    3. Using Fuzzy Quering over the Internet to Browse through Information Resources

      • Janusz Kacprzyk, Slawomir Zadrożny
      Pages 235-262
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Keywords

About this book

Computational Intelligence with its roots in Fuzzy Logic, Neural Networks and Evolutionary Algorithms has become an important research and application field in computer science in the last decade. Methodologies from these areas and combinations of them enable users from engineering, business, medicine and many more branches to capture and process vague, incomplete, uncertain and imprecise data and knowledge. Many algorithms and tools have been developed to solve problems in the realms of high and low level control, information processing, diagnostics, decision support, classification, optimisation and many more. This book tries to show the impact and feedback between theory and applications of Computational Intelligence, highlighted on selected examples.

Editors and Affiliations

  • University of Dortmund, Dortmund, Germany

    Bernd Reusch, Karl-Heinz Temme

Bibliographic Information

  • Book Title: Computational Intelligence in Theory and Practice

  • Editors: Bernd Reusch, Karl-Heinz Temme

  • Series Title: Advances in Intelligent and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-7908-1831-4

  • Publisher: Physica Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2001

  • Softcover ISBN: 978-3-7908-1357-9Published: 18 January 2001

  • eBook ISBN: 978-3-7908-1831-4Published: 20 March 2013

  • Series ISSN: 1867-5662

  • Series E-ISSN: 1867-5670

  • Edition Number: 1

  • Number of Pages: VIII, 262

  • Topics: Artificial Intelligence

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