Aggregation Functions in Theory and in Practice

  • Vicenç Torra
  • Radko Mesiar
  • Bernard De Baets
Conference proceedings AGOP 2017
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 581)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Radko Mesiar, Andrea Stupňanová
    Pages 1-8
  3. Slavka Bodjanova, Martin Kalina
    Pages 9-20
  4. Gül Deniz Çaylı, Funda Karaçal
    Pages 31-39
  5. D. Boixader, G. Mayor, J. Recasens
    Pages 40-52
  6. Jozef Komorník, Magdaléna Komorníková, Jana Kalická
    Pages 53-63
  7. Radko Mesiar, Anna Kolesárová
    Pages 64-70
  8. Margarita Mas, Daniel Ruiz-Aguilera, Joan Torrens
    Pages 71-82
  9. Graçaliz Pereira Dimuro, Giancarlo Lucca, José António Sanz, Humberto Bustince, Benjamín Bedregal
    Pages 83-95
  10. Jana Špirková, Gleb Beliakov, Humberto Bustince, Javier Fernández
    Pages 96-105
  11. Isabel Aguiló, Jaume Suñer, Joan Torrens
    Pages 106-117
  12. Sebastia Massanet, Juan Vicente Riera, Joan Torrens
    Pages 118-129
  13. Gergely Kiss, Gabor Somlai
    Pages 138-146
  14. Miguel Couceiro, Jimmy Devillet, Jean-Luc Marichal
    Pages 147-153
  15. Humberto Bustince, Maria Minárová, Javier Fernandez, Mikel Sesma-Sara, Cedric Marco-Detchart, Javier Ruiz-Aranguren
    Pages 162-171
  16. Pablo Olaso, Karina Rojas, Daniel Gómez, Javier Montero
    Pages 172-180
  17. Lenka Halčinová
    Pages 181-188

About these proceedings

Introduction

This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed.

Aggregation functions are used for data fusion and decision making.

Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).

Keywords

Intelligent Systems Computational Intelligence Aggregation Functions AGOP AGOP 2017

Editors and affiliations

  • Vicenç Torra
    • 1
  • Radko Mesiar
    • 2
  • Bernard De Baets
    • 3
  1. 1.School of InformaticsUniversity of SkövdeSkövdeSweden
  2. 2.Department of Mathematics and Descriptive GeometrySlovak University of TechnologyBratislavaSlovakia
  3. 3.KERMIT Research Unit Knowledge-based SystemsGhent UniversityGhentBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-59306-7
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-59305-0
  • Online ISBN 978-3-319-59306-7
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365

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