
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:
11th IUKM 2025, 17-19 March, 2025, Ho Chi Minh City, Industrial University of Ho Chi Minh City, Vietnam / Virtual venue
(Host: Industrial University of Ho Chi Minh City, University of Science (Vietnam National University Ho Chi Minh City))
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Sessions:
Machine Learning
Pattern Classification and Data Analysis
Uncertainty Management and Decision Support
Optimization and Statistical Methods
Machine Learning Applications
Economic and Management Applications
“Manipal Institute of Technology”
Keynotes:
On Conditional Event Algebra for Probability Reasoning in System Design
Information Fusion as a Tool to Estimate Parameters from Imprecise Data
Interaction Indices as a Tool to Explaining Machine Learning Models
Fuzzy Clustering: Unifying Algorithms through Theory, Parameterization, and Implementation
Deep Tensor Learning: Application to Predicting Adverse Drug effects
(Introduction to the Office of Naval Research Global (ONRG))
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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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