Aggregation and Fusion of Imperfect Information

  • Bernadette Bouchon-Meunier

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 12)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Aggregation Operators for Fusion under Fuzziness

    1. Front Matter
      Pages 1-1
    2. Sergei Ovchinnikov
      Pages 3-10
    3. Radko Mesiar, Magda Komorníková
      Pages 11-35
    4. János Fodor, Tomasa Calvo
      Pages 36-48
  3. Aggregation in Decision Making and Control

    1. Front Matter
      Pages 49-49
    2. Antoine Kelman, Ronald R. Yager
      Pages 73-97
    3. Vincenzo Cutello, Javier Montero
      Pages 98-105
    4. Maria Teresa Lamata
      Pages 106-117
  4. Fusion of Complementary Information

    1. Front Matter
      Pages 139-139
    2. Salem Benferhat, Didier Dubois, Henri Prade
      Pages 141-161
    3. Serafín Moral, José del Sagrado
      Pages 162-188
    4. Isabelle Bloch, Henri Maître
      Pages 189-213

About this book

Introduction

This book presents the main tools for aggregation of information given by several members of a group or expressed in multiple criteria, and for fusion of data provided by several sources. It focuses on the case where the availability knowledge is imperfect, which means that uncertainty and/or imprecision must be taken into account. The book contains both theoretical and applied studies of aggregation and fusion methods in the main frameworks: probability theory, evidence theory, fuzzy set and possibility theory. The latter is more developed because it allows to manage both imprecise and uncertain knowledge. Applications to decision-making, image processing, control and classification are described. The reader can find a state-of-the-art of the main methodologies, as well as more advanced results and descriptions of utilizations.

Keywords

Unvollständige Information aggregation operator aggregation operators artificial intelligence classification control decision making decision theory fuzziness fuzzy fuzzy control image processing intelligence probability theory uncertainty

Editors and affiliations

  • Bernadette Bouchon-Meunier
    • 1
  1. 1.Centre National de la Recherche Scientifique, LIP6 — Laboratoire d’Informatique de Paris 6Université Pierre et Marie CurieParis Cedex 05France

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1889-5
  • Copyright Information Physica-Verlag Heidelberg 1998
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-11073-7
  • Online ISBN 978-3-7908-1889-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book