International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM)*

International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM)*

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The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM), initially the International Symposium on Integrated Uncertainty Management and Applications (IUM), aims to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty management and application.

Main Organizer: Japan Advanced Institute of Science and Technology, School of Knowledge Science

Conference History:

10th IUKM 2023, 2-4 November 2023, Kanazawa, Japan / Virtual venue

(Co-Hosts: University of Science (Vietnam National University Ho Chi Minh City); Graduate School of Engineering Science, Department of Systems Innovation, Osaka University)

    Sessions:
    Uncertainty Management and Decision Support
    Pattern Classification and Data Analysis
    Economic Applications
    Machine Learning
    Optimization and Statistical Methods
    Security and Privacy in Machine Learning

    Keynotes:
    Two Classes of Fuzzy Clustering: Their Theoretical Contributions
    Contrastive Discovery of Hierarchical Achievements in Reinforcement Learning
    Random Fuzzy Sets and Belief Functions: Application to Machine Learning

    Pre-conference Events:
    6th School on Belief Functions and Their Applications (BELIEF 2023), Oct 28-Nov 1

9th IUKM 2022, 18-19 March 2022, [City], Ishikawa Prefecture, Japan Virtual venue

(Co-hosts: Graduate School of Engineering Science, Department of Systems Innovation, Osaka University)

    Note: The conference was originally scheduled for 18-20 March 2022

    Keynotes:
    Partition of Time Series Using Hierarchical Clustering; The Robust Ordinal Regression: Basic Ideas, Principal Models, Recent Developments; Decision Making and Optimization in Context of Inconsistently Interacting Goals and its Relation to Machine Learning

    Sessions:
    Uncertainty Management and Decision Making; Pattern Classification and Data Analysis; Machine Learning; Economic Applications; Optimization and Statistical Methods; Deep Learning and Econometrics: Theory and Applications (Special Session – CANCELLED)

8th IUKM 2020, 11-13 November 2020, Phuket, Thailand Virtual venue

(Co-hosts: Sirindhorn International Institute of Technology, Thammasat University; Thailand’s National Electronics and Computer Technology Center)

    Keynotes:
    Strategy Learning and Analysis in RoboCup Soccer Simulation; Multiclass Support Vector Machine Classifying the Degree of Reinforcement in Construction of a Large-scale Structure; Uncertainty in Electrical Unit Commitment with Renewal Energy

    Sessions:
    Machine Learning Applications; Econometric Applications; Uncertainty Management and Decision Support; Machine Learning; Statistical Methods

7th IUKM 2019, March 27–29, 2019, Nara, Japan

(Co-hosts: Graduate School of Engineering Science, Department of Systems Innovation, Osaka University)

    Keynotes:
    Choquet integral in decision making and metric learning; Logic for Thinking – From Mathematical Logic to Grammatical Logic; Robust Decisions under Uncertainty with a Rule Preference Model of Multiple Decision Makers; Variations and Generalizations of Fuzzy c-Means Clustering

    Sessions:
    Economics Applications; Optimization; Interval Data Analysis; Fuzzy Systems; Classification and Decision Support; Machine Learning and Data Analysis; Rough Set; Measure and Evaluation; Uncertainty and Data Analysis

6th IUKM 2018, 15–17 March 2018, Hanoi National University of Education, Hanoi, Vietnam

(Co-hosts: Faculty of Information Technology, Hanoi National University of Education)

    Pre-conference Tutorials (Mar 14):
    Artificial Intelligence: Many Possibilities and Challenges; Generalized Uncertainty Optimization – An Introductory Tutorial; Rough Set Approaches: From Basics to Extensions

    Plenary:
    Using Statistical Machine Learning Techniques to Analyze Satellite Optical Signature; Computational Decision Making and Data Science – Challenges and Opportunities; Toward Nonlinear Statistics based on Choquet Calculus; From Big Data and AI to FinTech; Similarly-based Machine Learning Approaches for Predicting Drug-target Interactions

    Sessions:
    Uncertainty Management and Decision Support; Statistical Methods; Clustering and Classification; Econometric Applications; Machine Learning Applications

5th IUKM 2016, 30 November – 2 December 2016, Da Nang, Vietnam

(Co-hosts: Technology & Engineering Division, Duy Tan University; Belief Functions and Applications Society)

    Pre-conference Tutorials (Nov 29):
    Classification and Clustering using Belief Functions; Rough Set Approach to Data Science; Probabilistic Topic Modeling for Discovering Hidden Semantics from Massive Data

    Plenary:
    On Evidential Measures of Support for Reasoning with Integrated Uncertainty: A Lesson from the Ban of P-values in Statistical Inference; Machine Learning Applications: Past, Present and Future; Autonomous Systems: Many Possibilities and Challenges; Fuzzy Co-clustering and Application to Collaborative Filtering

    Sessions:
    Uncertainty Management and Decision Support; Soft Clustering and Classification; Statistical Methods; Machine Learning for Social Media Analytics; Econometric Applications; Biomedical and Image Applications; Data Mining and Applications; Dependency Modelling and Application; Miscellaneous

4th IUKM 2015, 15-17 October 2015, Nha Trang, Vietnam

(Co-hosts: Pacific Ocean University; University of Engineering and Technology, Viet Nam National University-Hanoi; Faculty of Mathematics and Informatics, Hanoi National University of Education)

    Keynotes/Invited Talks:
    Epistemic Uncertainty Modeling: The-State-of-the-Art; Ordinal Preference Models – Learning from the Savage’s Omelet Problem; Fuzzy sets, multisets, and rough approximations; What is Fuzzy Natural Logic?; Research on Thai Natural Language Processing and Application to News Summarization and Public Hearing

    Sessions:
    Fuzziness and Knowledge Modelling; Data Mining and Uncertainty Management; Optimization and Decision Making; Applied Econometrics; Uncertainty Inference and Optimization; Natural Language Engineering; Dependence Modelling and Applied Econometrics; Fuzzy Clustering and Data Mining; Applied Statistics

3rd IUKM 2013, 12-14 July 2013, Beihang University, Beijing, China

(Co-hosts: School of Automation Science & Electrical Engineering, Beihang University)

    Keynotes (2): n.a.

    Sessions: Titles n.a.

2nd IUKM 2011, 28-30 October, 2011, Hangzhou, China

(Co-hosts: College of Computer Science and Technology , Zhejiang University; Intelligent Systems Laboratory, University of Bristol)

    Pre-conference Tutorials (Oct 27):
    Introduction to Knowledge Science; Advances in Fuzzy Clustering

    Keynotes/Invited Talks:
    TBA; Talking with Uncertainty; Introduction to the ER Rule for Evidence Combination; Theories and Approaches to Treat Incomparability; TBA; Fusing Conceptual Graphs and Fuzzy Logic: Towards the Structure
    and Expressiveness of Natural Language

    Sessions:
    n.a.; Theory of Belief Functions and Its Application in Multiple Classifier Systems (Special Session)

1st IUM 2010, 9-11 April 2010, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

(Co-hosts: Intelligent Systems Laboratory, University of Bristol; International Fuzzy Systems Association)

    Keynotes/Invited Talks:
    From Cardinal Preference Models based on Choquet Integrals to Ordinal Preference Models based on Sugeno Integrals; Interval-Based Models for Decision Problems; Computing with Words and Systemic Functional Linguistics: Linguistic Data Summaries and Natural Language Generation; Quasi-copulas: A Bridge Between Fuzzy Set Theory and Probability Theory; On Choquet Integral Risk Measures; Managing Granular Information in the Development of Human-Centric Systems; Dempster-Shafer Reasoning in Large Partially Ordered Sets: Applications in Machine Learning

    Sessions:
    Aggregation and Decision Making; Integrated Uncertainty and Operations Research; Reasoning with Uncertainty; Logical Approaches to Uncertainty; Application; Honoring Prof. M. Sugeno and Prof. H. Tanaka (Special Session); Fuzzy Measures and Integrals; Data Mining

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