Modeling Decisions for Artificial Intelligence

13th International Conference, MDAI 2016, Sant Julià de Lòria, Andorra, September 19-21, 2016. Proceedings

  • Vicenç Torra
  • Yasuo Narukawa
  • Guillermo Navarro-Arribas
  • Cristina Yañez
Conference proceedings MDAI 2016
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9880)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Invited Papers

    1. Front Matter
      Pages 1-1
    2. Juan A. Rodriguez-Aguilar, Marc Serramia, Maite Lopez-Sanchez
      Pages 3-14
    3. Montserrat Guillen, Catalina Bolancé, Miguel Santolino
      Pages 15-25
    4. Jordi Herrera-Joancomartí, Cristina Pérez-Solà
      Pages 26-44
  3. Aggregation Operators and Decision Making

    1. Front Matter
      Pages 45-45
    2. Anna Kolesárová, Jun Li, Radko Mesiar
      Pages 47-55
    3. Jordi Montserrat-Adell, Núria Agell, Mónica Sánchez, Francisco Javier Ruiz
      Pages 56-67
    4. Yao Ouyang, Jun Li
      Pages 107-113
    5. Emilio Celotto, Andrea Ellero, Paola Ferretti
      Pages 114-125
    6. M. Asiain, Humberto Bustince, B. Bedregal, Z. Takáč, M. Baczyński, D. Paternain et al.
      Pages 126-134
    7. Marc Pirlot, Henri Prade, Gilles Richard
      Pages 135-147
  4. Clustering and Classification

About these proceedings

Introduction

This book constitutes the proceedings of the 13th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2016, held in Sant Julià de Lòria, Andorra, in September 2016.

The 22 revised full papers presented together with three invited talks were carefully reviewed and selected from 36 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers address topics such as decision making, information fusion, social networks, data mining, and related subjects. Applications to data science and privacy technologies, as well as to real world problems are also discussed.

Keywords

data mining data privacy decision making fuzzy logics machine learning aggregation operators artificial intelligence classification cloud computing clustering decision support system fuzzy integrals fuzzy ontologies fuzzy sets intrusion detection logics multi-agent systems network privacy similarity measure visualization

Editors and affiliations

  • Vicenç Torra
    • 1
  • Yasuo Narukawa
    • 2
  • Guillermo Navarro-Arribas
    • 3
  • Cristina Yañez
    • 4
  1. 1.University of Kövde SkövdeSweden
  2. 2.Toho Gakuen Kunitachi, TokyoJapan
  3. 3.Enginyeria de la Informacio I de les ComUniv Autonoma de BarcelonaBellaterraSpain
  4. 4.Universitat d'Andorra Sant Julià de LòriaAndorra

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-45656-0
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-45655-3
  • Online ISBN 978-3-319-45656-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book