Conference Information
IUKM 2023: International Symposium on Integrated Uncertainties in Knowledge Modelling and Decision Making
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Kanazawa, Japan
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Call For Papers
IUKM2023 is the tenth edition of The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM), of which its main objectives are outlined as follows:

    to bring together researchers working on uncertainty formalisms in information and knowledge systems;
    to attract researchers working in social sciences (economics, business, management and environmental sciences) and engineering who are interested in applying uncertainty-related tools and techniques;
    to bring together researchers and practitioners in order to foster the collaboration on research and application involving uncertainty management; and
    to present and discuss open research problems and novel applications.

Proposal for special sessions and workshops is encouraged and welcome.
Relevant topics for the IUKM 2023 Symposium include (but are not limited to) the following:

Theory and Methodology

    Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods
    Modelling uncertainty and inconsistency in big data
    Learning and reasoning with uncertainty
    Logics for reasoning under uncertainty
    Uncertainty modelling in machine learning and deep learning
    Information fusion and knowledge integration in uncertain environments
    Decision making under various types of uncertainty
    Aggregation operators for decision making
    Copulas for dependence modelling
    Granular and soft computing
    Computational intelligence


    Data mining and knowledge discovery
    Multi-agent reinforcement learning
    Ontology engineering and Semantic Web
    Privacy preserving data analysis
    Intelligent data analysis and modelling
    Agents and argumentation
    Natural language processing
    Medical informatics and bioinformatics
    Ranking and recommendation systems
    Big data and cloud computing
    Social network analysis and mining
    Sensor fusion
    System identification and modelling
    Diagnosis and reliability
    Decision support systems
    Kansei/affective engineering
    Service computing
    Engineering management
    Supply chain management
    Environmental management
    Economics and econometrics
    Statistics and Applications
Last updated by Dou Sun in 2023-03-13
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