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© 2019

New Trends in Aggregation Theory

  • Radomír Halaš
  • Marek Gagolewski
  • Radko Mesiar
Conference proceedings AGOP 2019

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 981)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Invited Speakers

    1. Front Matter
      Pages 1-1
    2. Sebastia Massanet, Juan Vicente Riera, Joan Torrens
      Pages 47-59
  3. Other Speakers

    1. Front Matter
      Pages 61-61
    2. Irina Perfilieva, Anand P. Singh, S. P. Tiwari
      Pages 63-74
    3. Andrea Stupňanová, Doretta Vivona, Maria Divari
      Pages 75-82
    4. Vikash Kumar Gupta, Balasubramaniam Jayaram
      Pages 83-94
    5. Emel Aşıcı, Radko Mesiar
      Pages 106-114
    6. Piotr Helbin, Katarzyna Miś, Michał Baczyński
      Pages 129-139
    7. Zdenko Takáč, Humberto Bustince, Javier Fernandez, Graçaliz Dimuro, Tiago Asmus, Aitor Castillo
      Pages 140-150
    8. Humberto Bustince, Javier Fernandez, L’ubomíra Horanská, Radko Mesiar, Andrea Stupňanová
      Pages 151-159
    9. Lucian Coroianu, Marek Gagolewski
      Pages 160-171
    10. J. Armentia, I. Rodrí­guez, J. Fumanal Idocin, Humberto Bustince, M. Minárová, A. Jurio
      Pages 172-182
    11. Slavka Bodjanova, Martin Kalina
      Pages 183-194

About these proceedings

Introduction

This book collects the contributions presented at AGOP 2019, the 10th International Summer School on Aggregation Operators, which took place in Olomouc (Czech Republic) in July 2019. It includes contributions on topics ranging from the theory and foundations of aggregation functions to their various applications.

Aggregation functions have numerous applications, including, but not limited to, data fusion, statistics, image processing, and decision-making. They are usually defined as those functions that are monotone with respect to each input and that satisfy various natural boundary conditions. In particular settings, these conditions might be relaxed or otherwise customized according to the user’s needs. Noteworthy classes of aggregation functions include means, t-norms and t-conorms, uninorms and nullnorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals). This book provides a valuable overview of recent research trends in this area.

Keywords

Intelligent Systems Computational Intelligence Aggregation Functions AGOP AGOP 2019

Editors and affiliations

  • Radomír Halaš
    • 1
  • Marek Gagolewski
    • 2
  • Radko Mesiar
    • 3
  1. 1.Faculty of SciencePalacký UniversityOlomoucCzech Republic
  2. 2.Systems Research InstitutePolish Academy of ScienceWarsawPoland
  3. 3.Slovak University of TechnologyBratislavaSlovakia

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