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Knowledge Management in Fuzzy Databases

  • Olga Pons
  • Maria Amparo Vila
  • Janusz Kacprzyk

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 39)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Fuzziness in Databases: Basic Aspects

    1. Front Matter
      Pages 1-1
    2. R. De Caluwe, G. De Tré, B. Van der Cruyssen, F. Devos, P. Maesfranckx
      Pages 67-88
    3. Oded Maimon, Abe Kandel, Mark Last
      Pages 89-101
  3. Fuzziness in Databases: Operational Aspects

  4. Data Mining and Knowledge Discovery Via Querying, Retrieval and Summarization

    1. Front Matter
      Pages 157-157
    2. Zbigniew W. Ras
      Pages 159-170
    3. José Galindo, Juan Miguel Medina, Juan Carlos Cubero
      Pages 191-210
    4. Janusz Kacprzyk, Sławomir Zadrożny
      Pages 211-233
    5. Gloria Bordogna, Patrick Bosc, Gabriella Pasi
      Pages 234-246
    6. Jianhua Chen, Andreja Mikulcic, Donald H. Kraft
      Pages 247-260
    7. Maria Rifqi, Sophie Monties
      Pages 275-286
    8. Michael Bellmann, Nina Vojdani
      Pages 287-301
  5. Using Rough Sets and Evidence Theory for Handling Uncertainty in Data Mining

    1. Front Matter
      Pages 303-303
    2. Sarabjot S. Anand, John G. Hughes, David A. Bell
      Pages 305-333
    3. Marzena Kryszkiewicz, Henryk Rybinski
      Pages 334-348
    4. María C. Fernandez-Baizán, Ernestina Menasalvas Ruiz, José M. Peña Sánchez
      Pages 371-384
  6. Back Matter
    Pages 385-385

About this book

Introduction

1. When I was asked by the editors of this book to write a foreword, I was seized by panic. Obviously, neither I am an expert in Knowledge Representation in Fuzzy Databases nor I could have been beforehand unaware that the book's contributors would be some of the most outstanding researchers in the field. However, Amparo Vila's gentle insistence gradually broke down my initial resistance, and panic then gave way to worry. Which paving stones did I have at my disposal for making an entrance to the book? After thinking about it for some time, I concluded that it would be pretentious on my part to focus on the subjects which are dealt with directly in the contributions presented, and that it would instead be better to confine myself to making some general reflections on knowledge representation given by imprecise information using fuzzy sets; reflections which have been suggested to me by some words in the following articles such as: graded notions, fuzzy objects, uncertainty, fuzzy implications, fuzzy inference, empty intersection, etc.

Keywords

data mining database database management databases fuzziness fuzzy fuzzy logic information retrieval information system knowledge knowledge discovery knowledge management modeling multimedia uncertainty

Editors and affiliations

  • Olga Pons
    • 1
  • Maria Amparo Vila
    • 1
  • Janusz Kacprzyk
    • 2
  1. 1.Departamento de Ciencias de la Computacion e Inteligencia Artificial, E.T.S.I. de Ingenieria InformaticaUniversidad de GranadaGranadaSpain
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1865-9
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2467-4
  • Online ISBN 978-3-7908-1865-9
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site