[Apologies for cross-posting. Your help in circulating this call for papers to
potentially interested parties is highly appreciated.]
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CALL FOR PAPERS
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IUKM 2022: The Ninth International Symposium on INTEGRATED UNCERTAINTY in
KNOWLEDGE MODELLING and DECISION MAKING
Ishikawa, JAPAN, March 18-20, 2022
Conference website: https://www.jaist.ac.jp/IUKM/IUKM2022/
Submission link: https://easychair.org/conferences/?conf=iukm2022
Submission deadline: October 25, 2021
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The International Symposium on Integrated Uncertainty in Knowledge
Modelling and Decision Making (IUKM) 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.
The Ninth International Symposium on Integrated Uncertainty in Knowledge
Modelling and Decision Making (IUKM 2022) will be held in a hybrid mode of both
in-person and online during 18-20 March, 2022, and be jointly organized by
Japan Advanced Institute of Science and Technology (JAIST) and Osaka
University, Japan.
Submission Guidelines:
All papers must be original and not simultaneously submitted to another
journal or conference. The authors are invited to submit their full
papers by October 25, 2021. The submissions will be peer-reviewed for
originality and scientific quality. Authors are requested to prepare
their papers in the Springer format. Submissions should not exceed 12
pages and must be submitted as PDF electronically through the
conference's Easychair submission page.
List of Topics
Relevant topics for the IUKM 2022 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-based models
Modelling uncertainty and inconsistency in big data
Learning and reasoning with uncertainty
Logics for reasoning under uncertainty
Uncertainty modelling in 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
Ontology engineering and Semantic Web
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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Publication
As done in previous editions, the proceedings of IUKM 2022 will be
published by Springer-Verlag in the Lecture Notes in Artificial
Intelligence series, and be available at the Conference.
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General Chair:
Masahiro Inuiguchi (Osaka University, Japan)
Program Chair:
Katsuhiro Honda (Osaka Prefecture University, Japan)
Local Arrangements Co-Chairs:
Van-Nam Huynh (Japan Advanced Institute of Science and Technology, Japan)
Hideomi Gokon (Japan Advanced Institute of Science and Technology, Japan)
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