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Integrated Uncertainty in Knowledge Modelling and Decision Making

10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2–4, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Van-Nam Huynh

    1. Japan Advanced Inst of Science and Technology, Nomi, Japan

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  2. Bac Le

    1. Vietnam National University, Ho Chi Minh City, Vietnam

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  3. Katsuhiro Honda

    1. Osaka Metropolitan University, Sakai, Japan

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  4. Masahiro Inuiguchi

    1. Osaka University, Toyonaka, Japan

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  5. Youji Kohda

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

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14375)

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

Included in the following conference series:

Conference proceedings info: IUKM 2023.

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Table of contents (28 papers)

  1. Front Matter

    Pages i-xxvii
    Download chapter PDF

  2. Uncertainty Management and Decision Making

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Many-Valued Judgment Aggregation – Some New Possibility Results

      • Sebastian Uhl, Christian G. Fermüller
      Pages 3-14

    3. Free Quantification in Four-Valued and Fuzzy Bilattice-Valued Logics

      • Libor Běhounek, Martina Daňková, Antonín Dvořák
      Pages 15-26

    4. Weighted Fuzzy Rules Based on Implicational Quantifiers

      • Martina Daňková
      Pages 27-36

    5. Differentially Private Probabilistic Social Choice in the Shuffle Model

      • Qingyuan Ding, Keke Sun, Lixin Jiang, Haibo Zhou, Chunlai Zhou
      Pages 37-48

    6. Reasoning About Games with Possibilistic Uncertainty

      • Churn-Jung Liau
      Pages 49-60

    7. Application of Interval Valued Fuzzy Sets in Attribute Ranking

      • Bich Khue Vo, Hung Son Nguyen
      Pages 61-72

    8. Utilization of Data Envelopment Analysis for Grid Traffic Accident Data

      • Daisuke Maruyama, Masahiro Inuiguchi, Naoki Hayashi, Hirosato Seki, Hiromitsu Kurihara, Tomoya Ueura
      Pages 73-84

    9. Different Types of Decision Criteria in a Decision Problem

      • Tomoe Entani
      Pages 85-96

    10. Exploring the Impact of Randomness in Roguelike Deck-Building Games: A Case Study of Slay the Spire

      • SangGyu Nam, Pavinee Rerkjirattikal
      Pages 97-108

  3. Optimization and Statistical Methods

    1. Front Matter

      Pages 109-109
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    2. The a Priori Procedure for Estimating the Cohen’s Effect Size Under Independent Skew Normal Settings

      • Cong Wang, Tonghui Wang, Xiangfei Chen, David Trafimow, Tingting Tong, Liqun Hu et al.
      Pages 111-122

    3. Fast – Asymptotically Optimal – Methods for Determining the Optimal Number of Features

      • Saeid Tizpaz-Niari, Luc Longpré, Olga Kosheleva, Vladik Kreinovich
      Pages 123-128

    4. Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? a General Explanation

      • Edgar Daniel Rodriguez Velasquez, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
      Pages 129-138

    5. 0-1 Combinatorial Optimization Problems with Qualitative and Uncertain Profits

      • Tuan-Anh Vu, Sohaib Afifi, Éric Lefèvre, Frédéric Pichon
      Pages 139-151

    6. Forecasting Precious Metals Prices Volatility with the Global Economic Policy Uncertainty Index: The GARCH-MIDAS Technique for Different Frequency Data Sets

      • Roengchai Tansuchat, Payap Tarkhamtham, Wiranya Puntoon, Rungrapee Phadkantha
      Pages 152-164

    7. Lasso and Ridge for GARCH-X Models

      • Woraphon Yamaka, Paravee Maneejuk, Sukrit Thongkairat
      Pages 165-176

    8. Mean-Variance Portfolio Allocation Using ARMA-GARCH-Stable and Artificial Neural Network Models

      • Nguyen T. Anh, Mai D. Lam, Bao Q. Ta
      Pages 177-186

    9. Predicting Maize Yields with Satellite Information

      • Singh Ratna, Ping-Yu Hsu, You-Sheng Shih, Ming-Shien Cheng, Yu-Chun Chen
      Pages 187-198
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Other volumes

  1. Integrated Uncertainty in Knowledge Modelling and Decision Making

  2. Integrated Uncertainty in Knowledge Modelling and Decision Making

Keywords

About this book

These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023.

The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.





Editors and Affiliations

  • Japan Advanced Inst of Science and Technology, Nomi, Japan

    Van-Nam Huynh

  • Vietnam National University, Ho Chi Minh City, Vietnam

    Bac Le

  • Osaka Metropolitan University, Sakai, Japan

    Katsuhiro Honda

  • Osaka University, Toyonaka, Japan

    Masahiro Inuiguchi

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

    Youji Kohda

Bibliographic Information

  • Book Title: Integrated Uncertainty in Knowledge Modelling and Decision Making

  • Book Subtitle: 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2–4, 2023, Proceedings, Part I

  • Editors: Van-Nam Huynh, Bac Le, Katsuhiro Honda, Masahiro Inuiguchi, Youji Kohda

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-46775-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-46774-5Published: 27 October 2023

  • eBook ISBN: 978-3-031-46775-2Published: 26 October 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVII, 333

  • Number of Illustrations: 23 b/w illustrations, 56 illustrations in colour

  • Topics: Artificial Intelligence, Mathematics of Computing, Information Systems and Communication Service, Algorithm Analysis and Problem Complexity

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