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Knowledge Management in Fuzzy Databases

  • Book
  • © 2000

Overview

Editors:
  1. Olga Pons

    1. Departamento de Ciencias de la Computacion e Inteligencia Artificial, E.T.S.I. de Ingenieria Informatica, Universidad de Granada, Granada, Spain

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  2. Maria Amparo Vila

    1. Departamento de Ciencias de la Computacion e Inteligencia Artificial, E.T.S.I. de Ingenieria Informatica, Universidad de Granada, Granada, Spain

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  3. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

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  • With contributions by some of the most outstanding researchers in the field

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

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Table of contents (22 chapters)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Fuzzy Data Modeling at a Conceptual Level: Extending ER/EER Concepts

      • Etienne E. Kerre, Guoqing Chen
      Pages 3-11

    3. Conceptual Modeling for the Design of Fuzzy Object Oriented Databases

      • Adnan Yazici, Ali Çinar
      Pages 12-35

    4. On Inference Rules of Dependencies in Fuzzy Relational Data Models: Functional Dependencies

      • Michinori Nakata
      Pages 36-66

    5. Time Management in Fuzzy and Uncertain Object-Oriented Databases

      • R. De Caluwe, G. De Tré, B. Van der Cruyssen, F. Devos, P. Maesfranckx
      Pages 67-88

    6. Fuzzy Approach to Data Reliability

      • Oded Maimon, Abe Kandel, Mark Last
      Pages 89-101

  3. Fuzziness in Databases: Operational Aspects

    1. Front Matter

      Pages 103-103
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    2. Extended Divisions for Flexible Queries in Relational Databases

      • Didier Dubois, Michinori Nakata, Henri Prade
      Pages 105-121

    3. Fuzzy Functional Dependency as a Sort of Semantic Knowledge: Representation, Preservation and Use

      • Guoqing Chen
      Pages 122-134

    4. A Combinatorial Characterization of Fuzzy Functional Dependencies

      • Anna Czinkóczky-Sali
      Pages 135-143

    5. Formulation of Division Operators in Fuzzy Relational Databases

      • Michinori Nakata
      Pages 144-156

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

    1. Front Matter

      Pages 157-157
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    2. Intelligent Query Answering in DAKS

      • Zbigniew W. Ras
      Pages 159-170

    3. SQLf Query Functionality on Top of a Regular Relational Database Management System

      • Patrick Bosc, Olivier Pivert
      Pages 171-190

    4. How to Obtain the Fulfilment Degrees of a Query Using Fuzzy Relational Calculus

      • José Galindo, Juan Miguel Medina, Juan Carlos Cubero
      Pages 191-210

    5. Data Mining via Fuzzy Querying over the Internet

      • Janusz Kacprzyk, SÅ‚awomir Zadrożny
      Pages 211-233

    6. Extended Boolean Information Retrieval in Terms of Fuzzy Inclusion

      • Gloria Bordogna, Patrick Bosc, Gabriella Pasi
      Pages 234-246

    7. An Integrated Approach to Information Retrieval with Fuzzy Clustering and Fuzzy Inferencing

      • Jianhua Chen, Andreja Mikulcic, Donald H. Kraft
      Pages 247-260

    8. Retrieval from Multimedia Databases Using Fuzzy Temporal Concepts

      • Ronald R. Yager
      Pages 261-274
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Keywords

About this book

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.

Editors and Affiliations

  • Departamento de Ciencias de la Computacion e Inteligencia Artificial, E.T.S.I. de Ingenieria Informatica, Universidad de Granada, Granada, Spain

    Olga Pons, Maria Amparo Vila

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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