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Modeling Decisions for Artificial Intelligence

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

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Vicenç Torra

    1. University of Kövde , Skövde, Sweden

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  2. Yasuo Narukawa

    1. Toho Gakuen , Kunitachi, Tokyo, Japan

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  3. Guillermo Navarro-Arribas

    1. Enginyeria de la Informacio I de les Com, Univ Autonoma de Barcelona, Bellaterra, Spain

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  4. Cristina Yañez

    1. Universitat d'Andorra , Sant Julià de Lòria, Andorra

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9880)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MDAI 2016.

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Table of contents (25 papers)

  1. Front Matter

    Pages I-XIII
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  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Aggregation Operators to Support Collective Reasoning

      • Juan A. Rodriguez-Aguilar, Marc Serramia, Maite Lopez-Sanchez
      Pages 3-14

    3. Fundamentals of Risk Measurement and Aggregation for Insurance Applications

      • Montserrat Guillen, Catalina Bolancé, Miguel Santolino
      Pages 15-25

    4. Privacy in Bitcoin Transactions: New Challenges from Blockchain Scalability Solutions

      • Jordi Herrera-Joancomartí, Cristina Pérez-Solà
      Pages 26-44

  3. Aggregation Operators and Decision Making

    1. Front Matter

      Pages 45-45
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    2. On k–additive Aggregation Functions

      • Anna Kolesárová, Jun Li, Radko Mesiar
      Pages 47-55

    3. A Representative in Group Decision by Means of the Extended Set of Hesitant Fuzzy Linguistic Term Sets

      • Jordi Montserrat-Adell, Núria Agell, Mónica Sánchez, Francisco Javier Ruiz
      Pages 56-67

    4. Suitable Aggregation Operator for a Realistic Supplier Selection Model Based on Risk Preference of Decision Maker

      • Sirin Suprasongsin, Pisal Yenradee, Van Nam Huynh
      Pages 68-81

    5. Weighted Quasi-Arithmetic Means on Two-Dimensional Regions: An Independent Case

      • Yuji Yoshida
      Pages 82-93

    6. Axiomatisation of Discrete Fuzzy Integrals with Respect to Possibility and Necessity Measures

      • D. Dubois, A. Rico
      Pages 94-106

    7. An Equivalent Definition of Pan-Integral

      • Yao Ouyang, Jun Li
      Pages 107-113

    8. Monotonicity and Symmetry of IFPD Bayesian Confirmation Measures

      • Emilio Celotto, Andrea Ellero, Paola Ferretti
      Pages 114-125

    9. About the Use of Admissible Order for Defining Implication Operators

      • M. Asiain, Humberto Bustince, B. Bedregal, Z. Takáč, M. Baczyński, D. Paternain et al.
      Pages 126-134

    10. Completing Preferences by Means of Analogical Proportions

      • Marc Pirlot, Henri Prade, Gilles Richard
      Pages 135-147

  4. Clustering and Classification

    1. Front Matter

      Pages 149-149
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    2. Rating Supervised Latent Topic Model for Aspect Discovery and Sentiment Classification in On-Line Review Mining

      • Wei Ou, Van-Nam Huynh
      Pages 151-164

    3. On Various Types of Even-Sized Clustering Based on Optimization

      • Yasunori Endo, Tsubasa Hirano, Naohiko Kinoshita, Yikihiro Hamasuna
      Pages 165-177

    4. On Bezdek-Type Possibilistic Clustering for Spherical Data, Its Kernelization, and Spectral Clustering Approach

      • Yuchi Kanzawa
      Pages 178-190

    5. Hierarchical Clustering via Penalty-Based Aggregation and the Genie Approach

      • Marek Gagolewski, Anna Cena, Maciej Bartoszuk
      Pages 191-202
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  1. Modeling Decisions for Artificial Intelligence

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About this book

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.

Editors and Affiliations

  • University of Kövde , Skövde, Sweden

    Vicenç Torra

  • Toho Gakuen , Kunitachi, Tokyo, Japan

    Yasuo Narukawa

  • Enginyeria de la Informacio I de les Com, Univ Autonoma de Barcelona, Bellaterra, Spain

    Guillermo Navarro-Arribas

  • Universitat d'Andorra , Sant Julià de Lòria, Andorra

    Cristina Yañez

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