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Integrated Uncertainty in Knowledge Modelling and Decision Making

7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings

  • Hirosato Seki
  • Canh Hao Nguyen
  • Van-Nam Huynh
  • Masahiro Inuiguchi
Conference proceedings IUKM 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11471)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11471)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Uncertainty Management and Decision Support

    1. Front Matter
      Pages 1-1
    2. Pavinee Rerkjirattikal, Sun Olapiriyakul
      Pages 26-37
    3. Camilo Franco, J. Tinguaro Rodríguez, Javier Montero, Daniel Gómez, Ronald R. Yager
      Pages 38-49
    4. Tuan-Fang Fan, Churn-Jung Liau
      Pages 50-62
    5. Gissela M. Guanoluisa, Jimmy A. Pilatasig, Víctor H. Andaluz
      Pages 63-75
    6. Puchit Sariddichainunta, Masahiro Inuiguchi
      Pages 76-85
    7. Michinori Nakata, Hiroshi Sakai
      Pages 86-97
    8. Christian Servin, Olga Kosheleva, Vladik Kreinovich
      Pages 98-108
    9. Jonathan Lawry, Van-Nam Huynh, Chris McMahon
      Pages 109-121
    10. Yoshifumi Kusunoki, Jerzy Błaszczyński, Masahiro Inuiguchi, Roman Słowiński
      Pages 135-145
  3. Econometrics

    1. Front Matter
      Pages 147-147
    2. Jittima Singvejsakul, Chukiat Chaiboonsri, Songsak Sriboonchitta
      Pages 161-171
    3. Sukrit Thongkairat, Woraphon Yamaka, Songsak Sriboonchitta
      Pages 172-183
    4. Woraphon Yamaka, Paravee Maneejuk, Songsak Sriboonchitta
      Pages 184-196
    5. Huiming Zhang, Junzo Watada
      Pages 197-209
    6. Roengchai Tansuchat, Woraphon Yamaka
      Pages 210-221
    7. Songkomkrit Chaiyakan, Phantipa Thipwiwatpotjana
      Pages 222-234
  4. Machine Learning

    1. Front Matter
      Pages 245-245
    2. Masahiro Inuiguchi, Keisuke Washimi
      Pages 260-270
    3. Qiangeng Xu, Zengchang Qin, Tao Wan
      Pages 284-294
    4. Yuya Tomotoshi, David Ha, Emilie Delattre, Hideyuki Watanabe, Xugang Lu, Shigeru Katagiri et al.
      Pages 295-307
    5. Vojtech Molek, Irina Perfilieva
      Pages 320-332
  5. Machine Learning Applications

  6. Statistical Methods

    1. Front Matter
      Pages 419-419
    2. Zdenko Takáč, Mária Minárová, Humberto Bustince, Javier Fernandez
      Pages 432-442
  7. Back Matter
    Pages 443-444

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019, held in Nara, Japan, in March 2019.

The 37 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; econometrics; machine learning; machine learning applications; and statistical methods.

Keywords

artificial intelligence big data classification computer vision data mining fuzzy logic fuzzy sets fuzzy systems genetic algorithms numerical experiments numerical methods rough set theory rule induction semantics support vector Support Vector Machines (SVM)

Editors and affiliations

  • Hirosato Seki
    • 1
  • Canh Hao Nguyen
    • 2
  • Van-Nam Huynh
    • 3
  • Masahiro Inuiguchi
    • 4
  1. 1.Osaka UniversityToyonaka, OsakaJapan
  2. 2.Institute for Chemical ResearchKyoto UniversityUji, KyotoJapan
  3. 3.Japan Advanced Institute of Science and TechnologyNomi, IshikawaJapan
  4. 4.Osaka UniversityToyonaka, OsakaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-14815-7
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-14814-0
  • Online ISBN 978-3-030-14815-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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