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IUKM 2026 : 12th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making | |||||||||||||||
| Link: https://www.jaist.ac.jp/IUKM/IUKM2026/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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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 origin of this conference series started in 2010 at Japan Advanced Institute of Science and Technology, Ishikawa, Japan under the title of the International Symposium on Integrated Uncertainty Management and Applications (IUM 2010). The name of the conference series was then changed to its current title at the second edition (IUKM 2011) held in October 2011 at Zhejiang University, Hangzhou, China; and later editions were held in Beijing, China (IUKM 2013), Nha Trang, Vietnam (IUKM 2015), Da Nang, Vietnam (IUKM 2016), Hanoi, Vietnam (IUKM 2018), Nara, Japan (IUKM 2019), Bangkok, Thailand (online) (IUKM 2020), Osaka, Japan (online) (IUKM 2022), Ishikawa, Japan (IUKM 2023), and Ho Chi Minh City, Vietnam (IUKM 2025), respectively.
The 12th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2026) will be held in Quy Nhon City, Vietnam during 14-17 September, 2026, and be jointly organized by Quy Nhon University, University of Science (Vietnam National University Ho Chi Minh City), and Japan Advanced Institute of Science and Technology (JAIST). Relevant topics for IUKM 2026 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 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 Paper Submission and Publication The authors are invited to submit their full papers by 15 April, 2026 10 May, 2026. The submissions will be peer-reviewed for originality and scientific quality. As done in previous editions, the proceedings of IUKM 2026 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Symposium. 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 CMT submission site. Please visit here for details. IUKM Related Special Issues IUKM 2026 Special Issues will be announced on this page later. Special Issues of previous IUKM conferences (IUM 2010, IUKM 2015, IUKM 2016, IUKM 2018, IUKM 2023) have been published in Annals of Operations Research and International Journal of Approximate Reasoning. |
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