Special Issue: Uncertainty in Data and Decision Analytics – IUKM 2023

The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) aims to provide a forum for exchanging research results and ideas for and experience of using applications among researchers and practitioners involved with all aspects of uncertainty management. IUKM 2023 is the tenth edition of the symposium, which will be held in Kanazawa, Japan, 02–04 November, 2023.

In applications of Data and Decision Analytics the uncertainty lies in the noisy data (ambiguous, imprecise, contradictory, missing data) and the unknown (or partly known) model parameters. Such different types of uncertainty come from different sources and require different approaches to handle. This special issue follows IUKM 2023 and solicits both applied and methodological papers focused on any aspect of uncertainty management in Data and Decision Analytics. Especially, participants of the IUKM 2023 Symposium are strongly encouraged to submit their extended and enriched papers to this special issue, fully conforming to the specifications of the Annals of Operations Research as outlined in its Author Guidelines. Note that the contributions arising from papers given at IUKM 2023 or other conferences should be substantially extended, and should cite the conference paper where appropriate. The issue, however, is also open to other relevant contributions that would not be presented at IUKM 2023.

Theory and Methodology

– Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets, and interval methods

– Uncertainty modeling and management in big-data environments

– Learning and reasoning with 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

– Granular and soft computing

– Computational intelligence

Applications

– Data mining and knowledge discovery

– Intelligent data analysis and modelling

– Multi-agent reinforcement learning

– Privacy preserving data analysis

– 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

Call for Papers Flyer: Uncertainty in Data and Decision Analytics – IUKM 2023