The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. It provides a medium for the exchange of ideas between theoreticians and practitioners in these and related areas.

Topics and Scope of the Conference

Theory, Methods and Tools: Uncertainty, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis.

Application Fields: Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering.

Submission of Papers:

IPMU-2014 solicits original research contributions of theoretical and methodological nature as well as application-oriented work. IPMU-2014 will not accept any paper which, at the time of submission, is under review or has already been accepted for publication in a journal or another conference. Authors are also expected not to submit their papers elsewhere during the review period. Contributions will be selected based upon their quality as evaluated by 2-3 referees.

Please note that a number of special sessions on various topics will be included in the program, organized and chaired by recognized experts. You are kindly invited to contribute to these sessions.