Modeling Decisions for Artificial Intelligence

12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings

  • Vicenc Torra
  • Torra Narukawa
Conference proceedings MDAI 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9321)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9321)

Table of contents

  1. Front Matter
    Pages I-XXVI
  2. Invited Paper

    1. Front Matter
      Pages 1-1
    2. Fredrik D. Johansson, Otto Frost, Carl Retzner, Devdatt Dubhashi
      Pages 3-17
  3. Aggregation Operators and Decision Making

    1. Front Matter
      Pages 19-19
    2. Giancarlo Lucca, José Antonio Sanz, Graçaliz Pereira Dimuro, Benjamín Bedregal, Radko Mesiar, Anna Kolesárová et al.
      Pages 33-41
    3. Christophe Labreuche, Michel Grabisch
      Pages 54-65
    4. Francisco Chiclana, Raquel Ureña, Hamido Fujita, Enrique Herrera-Viedma
      Pages 66-77
    5. Camilo Franco, Jens Leth Hougaard, Kurt Nielsen
      Pages 78-89
  4. Clustering and Similarity

  5. Data Mining and Data Privacy

    1. Front Matter
      Pages 141-141
    2. Wiem Zemzem, Moncef Tagina
      Pages 155-166
    3. Jordi Soria-Comas, Josep Domingo-Ferrer
      Pages 192-206
    4. Eva Armengol, Vicenç Torra
      Pages 207-218
  6. Logics

    1. Front Matter
      Pages 219-219
    2. Miquel Bofill, Felip Manyà, Amanda Vidal, Mateu Villaret
      Pages 221-229
    3. Tim Muller, Dongxia Wang, Audun Jøsang
      Pages 230-242
  7. Back Matter
    Pages 243-243

About these proceedings


This book constitutes the proceedings of the 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015, held in Skövde, Sweden, in September 2015. The 18 revised full papers presented were carefully reviewed and selected from 38 submissions. They discuss theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.


fuzzy logics classification clustering decision making fuzzy sets logics aggregation operators artificial intelligence data mining data privacy distributed decision making graph mining human-system interaction manifold learning nonlinear dimensionality reduction ordered weighted maximum parallel data processing possibilistic clustering privacy query optimization

Editors and affiliations

  • Vicenc Torra
    • 1
  • Torra Narukawa
    • 2
  1. 1.University of SkövdeSkövdeSweden
  2. 2.Toho GakuenTokyoJapan

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-23239-3
  • Online ISBN 978-3-319-23240-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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