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

iniesta2010
2013/1/14镜像同步0 回复
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) http://att.newsmth.net/nForum/att/AI/91830/3295
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