IMPORTANT DATES
Co-Hosts
SPONSORS
Call for Papers
Objectives and Topics
Solving complex practical problems often requires the integration of data and knowledge from different relevant sources and further takes uncertainty and impreciseness into account. This gives rise to the demand for innovative methodologies and efficient techniques of managing and integrating various types of data and knowledge with uncertainty/imprecision so as to ultimately improve the solution to any such complex problems in practice. The objectives of the Symposium 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) 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.
Theory and Methodology
- Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods
- Logics for reasoning under uncertainty
- Information fusion and knowledge integration in uncertain environments
- Decision making under various types of uncertainty
- Aggregation of preferences under uncertainty
- Copulas for dependence modelling
- Optimization under soft constraints
- Granular and soft computing
- Data mining and knowledge discovery
- Ontology engineering and Semantic Web
- Intelligent data analysis and modelling
- Medical informatics and bioinformatics
- Ranking and recommendation systems
- Kansei/affective engineering
- Engineering management
- Supply chain management
- Environmental management
- Service science
- Economics and econometrics
- Social network analysis and mining