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[交流] 【Call For Paper】IUKM 2013 : May 10-12, Beijing, China

IUKM 2013 : International Symposium on Integrated Uncertainties in Knowledge Modelling and Decision Making
  
Conference Series : Integrated Uncertainty in Knowledge Modelling
  
Link: http://icmll.buaa.edu.cn/IUKM2013/
  
When  Jul 12, 2013 - Jul 14, 2013
Where Beijing, China
Submission Deadline  Feb 24, 2013
Notification Due     Mar 20, 2013
Final Version Due    Apr 15, 2013
  
Categories    artificial intelligence   uncertainty reasoning   computational intelliigence   fuzzy logic
  
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. This symposium 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.
  
Its objectives 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.  
The topics of the Symposium includes (but are not limited to):
  
Theory and Methodology:
  
Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods; logics for uncertainty reasoning  
Information fusion and knowledge integration in uncertain environments  
Decision making under various types of uncertainty  
Aggregation operators  
Copulas for dependence modelling  
Granular and soft computing  
Type-2 Fuzz set  
  
Applications:
  
Data mining and knowledge discovery  
Ontology engineering and Semantic Web  
Software engineering  
Medical informatics and bioinformatics  
Ranking and recommendation systems  
Kansei engineering and evaluation  
Engineering management  
Supply chain management  
Management of services  
Environmental and economics sciences  
Social Network Analysis  
Social Network Mining  
Sponsorship
  
Beihang University, China  
University of Bristol, UK  
Japan Advanced Institute of Science and Technology, Japan  
Springer  
Lecture Notes in Artificial Intelligence  
Elsevier  
International Journal of Approximate Reasoning
  
Special Issues
  
International Journal of Approximate Reasoning (Elsevier)
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