[Apologies for cross-posting. Your help in circulating this call for papers to potentially interested parties is highly appreciated.] ———————————————————————————————————————————————————— CALL FOR PAPERS ———————————————————————————————————————————————————— 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 ———————————————————————————————————————————————————— 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

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.

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)