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  • Conference proceedings
  • © 2017

Modeling Decisions for Artificial Intelligence

14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings

Editors:

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10571)

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

Conference series link(s): MDAI: International Conference on Modeling Decisions for Artificial Intelligence

Conference proceedings info: MDAI 2017.

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  • ISBN: 978-3-319-67422-3
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Table of contents (19 papers)

  1. Front Matter

    Pages I-XVIII
  2. Invited Paper

    1. Front Matter

      Pages 1-1
    2. Provenance and Privacy

      • Vicenç Torra, Guillermo Navarro-Arribas, David Sanchez-Charles, Victor Muntés-Mulero
      Pages 3-11
  3. Aggregation Operators, Fuzzy Measures and Integrals

    1. Front Matter

      Pages 13-13
    2. Symmetrization Methods for Aggregation Functions

      • Radko Mesiar, Andrea Stupňanová
      Pages 26-32
    3. Event-Based Transformations of Capacities

      • Surajit Borkotokey, Radko Mesiar, Jun Li
      Pages 33-39
    4. Pan-Integrals Based on Optimal Measures

      • Jun Li, Yao Ouyang, Minhao Yu
      Pages 40-50
    5. Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals

      • Aoi Honda, Simon James, Sutharshan Rajasegarar
      Pages 51-62
    6. \(L_1\) -space for Sugeno Integral

      • Aoi Honda, Yoshiaki Okazaki
      Pages 63-73
  4. Data Privacy and Security

    1. Front Matter

      Pages 117-117
    2. Differentially Private Data Sets Based on Microaggregation and Record Perturbation

      • Jordi Soria-Comas, Josep Domingo-Ferrer
      Pages 119-131
    3. A Methodology to Compare Anonymization Methods Regarding Their Risk-Utility Trade-off

      • Josep Domingo-Ferrer, Sara Ricci, Jordi Soria-Comas
      Pages 132-143
  5. Data Mining and Applications

    1. Front Matter

      Pages 157-157

Other Volumes

  1. Modeling Decisions for Artificial Intelligence

About this book

This book constitutes the proceedings of the 14th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2017, held in Kitakyushu, Japan, in October 2017.

The 18 revised full papers presented together with one invited paper and three abstracts of invited talks were carefully reviewed and selected from 30 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers are organized in topical sections on aggregation operators, fuzzy measures and integrals; clustering and classication; data privacy and security; data mining and applications.

Keywords

  • Sequential decision making
  • Vagueness and fuzzy logic
  • Algorithmic game theory and mechanism design
  • Artificial Intelligence
  • Machine learning
  • Unsupervised learning and clustering
  • Security and privacy
  • Privacy protections
  • Integral calculus
  • Data mining

Editors and Affiliations

  • University of Skövde, Skövde, Sweden

    Vicenç Torra

  • Toho Gakuen, Kunitachi, Japan

    Yasuo Narukawa

  • Kyushu Institute of Technology, Iizuka, Japan

    Aoi Honda

  • Kyushu Institute of Technology, Kitakyushu-shi, Japan

    Sozo Inoue

Bibliographic Information

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-67422-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 69.99
Price excludes VAT (USA)