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Integrated Uncertainty in Knowledge Modelling and Decision Making

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Hirosato Seki

    1. Osaka University, Toyonaka, Osaka, Japan

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  2. Canh Hao Nguyen

    1. Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan

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  3. Van-Nam Huynh

    1. Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

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  4. Masahiro Inuiguchi

    1. Osaka University, Toyonaka, Osaka, Japan

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

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

Included in the following conference series:

Conference proceedings info: IUKM 2019.

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Table of contents (36 papers)

  1. Front Matter

    Pages I-XX
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  2. Uncertainty Management and Decision Support

    1. Front Matter

      Pages 1-1
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    2. Scientometric Indices Based on Integrals and Their Adaptation in Different Domains

      • Andrea Stupňanová
      Pages 3-12

    3. Normalization of Multiple Efficiency Intervals by Interval Data Envelopment Analysis from Different Frameworks

      • Tomoe Entani, Miho Isobe
      Pages 13-25

    4. Overtime Assignment and Job Satisfaction in Noise-Safe Job Rotation Scheduling

      • Pavinee Rerkjirattikal, Sun Olapiriyakul
      Pages 26-37

    5. Ambiguity Measures for Preference-Based Decision Viewpoints

      • Camilo Franco, J. Tinguaro Rodríguez, Javier Montero, Daniel Gómez, Ronald R. Yager
      Pages 38-49

    6. Logics of Dominance for Reasoning About Multi-criteria Decisions

      • Tuan-Fang Fan, Churn-Jung Liau
      Pages 50-62

    7. GY MEDIC: Analysis and Rehabilitation System for Patients with Facial Paralysis

      • Gissela M. Guanoluisa, Jimmy A. Pilatasig, Víctor H. Andaluz
      Pages 63-75

    8. Revealed Preference for Network Design in Bilevel Linear Programming

      • Puchit Sariddichainunta, Masahiro Inuiguchi
      Pages 76-85

    9. Rule Induction Based on Rough Sets from Possibilistic Data Tables

      • Michinori Nakata, Hiroshi Sakai
      Pages 86-97

    10. Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification

      • Christian Servin, Olga Kosheleva, Vladik Kreinovich
      Pages 98-108

    11. Three Valued Representation of Opinions in Affective Design

      • Jonathan Lawry, Van-Nam Huynh, Chris McMahon
      Pages 109-121

    12. Sampling Strategies for Fuzzy RANSAC Algorithm Based on Reinforcement Learning

      • Toshihiko Watanabe
      Pages 122-134

    13. Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function

      • Yoshifumi Kusunoki, Jerzy Błaszczyński, Masahiro Inuiguchi, Roman Słowiński
      Pages 135-145

  3. Econometrics

    1. Front Matter

      Pages 147-147
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    2. An Econometric Study of Inbound Tourism Demand in Hong Kong, Macao and Taiwan: A Case Study of Mainland China

      • Bing Yang, Jianxu Liu, Songsak Sriboonchitta
      Pages 149-160

    3. The Dependence Structure and Portfolio Optimization in Economic Cycles: An Application in ASEAN Stock Market

      • Jittima Singvejsakul, Chukiat Chaiboonsri, Songsak Sriboonchitta
      Pages 161-171

    4. Hedging Benefit of Safe-Haven Gold in Terms of Co-skewness and Covariance in Stock Market

      • Sukrit Thongkairat, Woraphon Yamaka, Songsak Sriboonchitta
      Pages 172-183

    5. Markov Switching Beta-skewed-t EGARCH

      • Woraphon Yamaka, Paravee Maneejuk, Songsak Sriboonchitta
      Pages 184-196

    6. Building Fuzzy Levy-GJR-GARCH American Option Pricing Model

      • Huiming Zhang, Junzo Watada
      Pages 197-209
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  1. Integrated Uncertainty in Knowledge Modelling and Decision Making

Keywords

About this book

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.



Editors and Affiliations

  • Osaka University, Toyonaka, Osaka, Japan

    Hirosato Seki, Masahiro Inuiguchi

  • Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan

    Canh Hao Nguyen

  • Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Van-Nam Huynh

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