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Integrated Uncertainty in Knowledge Modelling and Decision Making

9th International Symposium, IUKM 2022, Ishikawa, Japan, March 18–19, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Katsuhiro Honda

    1. Osaka Prefecture University, Sakai, Japan

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  2. Tomoe Entani

    1. University of Hyogo, Kobe, Japan

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  3. Seiki Ubukata

    1. Osaka Prefecture University, Sakai, Japan

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  4. Van-Nam Huynh

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

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  5. Masahiro Inuiguchi

    1. Osaka University, Toyonaka, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13199)

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

Included in the following conference series:

Conference proceedings info: IUKM 2022.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xv
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  2. Uncertainty Management and Decision Making

    1. Front Matter

      Pages 1-1
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    2. Measuring Quality of Belief Function Approximations

      • Radim Jiroušek, Václav Kratochvíl
      Pages 3-15

    3. The Lattice Structure of Coverings in an Incomplete Information Table with Value Similarity

      • Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
      Pages 16-28

    4. Group Formation Models Based on Inner Evaluations of Members

      • Tomoe Entani
      Pages 29-39

    5. Preference-Based Assessment of Organisational Risk in Complex Environments

      • Silvia Carpitella, Joaquín Izquierdo
      Pages 40-52

    6. A Data-Driven Weighting Method Based on DEA Model for Evaluating Innovation Capability in Banking

      • Nu Dieu Khue Ngo, Van-Nam Huynh
      Pages 53-66

    7. Decision Analysis with the Set of Normalized Triangular Fuzzy Weight Vectors in Fuzzy AHP

      • Shigeaki Innan, Masahiro Inuiguchi
      Pages 67-78

  3. Optimization and Statistical Methods

    1. Front Matter

      Pages 79-79
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    2. Coyote Optimization Algorithm with Linear Convergence for Global Numerical Optimization

      • Hsin-Jui Lin, Sheng-Ta Hsieh
      Pages 81-91

    3. Accounting for Gaussian Process Imprecision in Bayesian Optimization

      • Julian Rodemann, Thomas Augustin
      Pages 92-104

    4. Additional Out-Group Search for JADE

      • Yuichi Miyahira, Akira Notsu
      Pages 105-116

    5. Confidence Intervals for Mean of Delta Two-Parameter Exponential Distribution

      • Wansiri Khooriphan, Sa-Aat Niwitpong, Suparat Niwitpong
      Pages 117-129

    6. An Analysis to Treat the Degeneracy of a Basic Feasible Solution in Interval Linear Programming

      • Zhenzhong Gao, Masahiro Inuiguchi
      Pages 130-142

    7. Job-Satisfaction Enhancement in Nurse Scheduling: A Case of Hospital Emergency Department in Thailand

      • Pavinee Rerkjirattikal, Raveekiat Singhaphandu, Van-Nam Huynh, Sun Olapiriyakul
      Pages 143-154

    8. Analysis of Medical Data Using Interval Estimators for Common Mean of Gaussian Distributions with Unknown Coefficients of Variation

      • Warisa Thangjai, Sa-Aat Niwitpong, Suparat Niwitpong
      Pages 155-166

  4. Pattern Classification and Data Analysis

    1. Front Matter

      Pages 167-167
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    2. On Some Fuzzy Clustering Algorithms for Time-Series Data

      • Mizuki Fujita, Yuchi Kanzawa
      Pages 169-181

    3. On an Multi-directional Searching Algorithm for Two Fuzzy Clustering Methods for Categorical Multivariate Data

      • Kazune Suzuki, Yuchi Kanzawa
      Pages 182-190

    4. On Some Fuzzy Clustering Algorithms with Cluster-Wise Covariance

      • Toshiki Ishii, Yuchi Kanzawa
      Pages 191-203
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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 98th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2021, held in Ishikawa, Japan, in March 2022.

The 30 full papers presented were carefully reviewed and selected from 46 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision making, optimization and statistical methods, pattern classification and data analysis, machine learning, and economic applications.

Editors and Affiliations

  • Osaka Prefecture University, Sakai, Japan

    Katsuhiro Honda, Seiki Ubukata

  • University of Hyogo, Kobe, Japan

    Tomoe Entani

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

    Van-Nam Huynh

  • Osaka University, Toyonaka, Japan

    Masahiro Inuiguchi

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