Conference Information

IUKM 2023: International Symposium on Integrated Uncertainties in Knowledge Modelling and Decision Making

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Submission Date:
2023-06-15 Extended
Notification Date:
2023-07-15
Conference Date:
2023-11-02
Location:
Kanazawa, Japan
Years:
10
QUALIS: b5   Viewed: 21771   Tracked: 0   Attend: 0

Call For Papers

IUKM 2023 (International Symposium on Integrated Uncertainties in Knowledge Modelling and Decision Making) is a QUALIS B5 conference held in Kanazawa, Japan on 2023-11-02. The paper submission deadline is 2023-06-15 (extended). Acceptance notifications are sent on 2023-07-15.

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 Application 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
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