Submission date for papers is close: 30th November
25th Mini-EURO Conference on
Uncertainty and Robustness in Planning and Decision Making
http://www.inescc.pt/urpdm2010
University of Coimbra, Portugal
15-17 April 2010
with the support of the COST Action IC0602 on Algorithmic Decision
Theory and EURO (The European Association of Operational Research
Societies)
Scope and objectives
Uncertainty and risk are pervasive issues in planning and decision
making tasks. With a wide range of causes and types of uncertainty,
there are correspondingly many approaches to their treatment in
decision analysis and optimization models. Some are tackled through
discussion and creativity techniques to help decision makers set the
boundaries of their problem; others are tackled through modelling
techniques, e.g. probability, to reflect the randomness in the external
world; yet others are approached through the use of sensitivity and
robustness studies to explore the possible consequences of lack of
precision in data estimates and judgments.
Different research communities address uncertainty issues in planning
and decision making using different approaches, which often present
similarities although being developed under distinct perspectives.
There is a clear need for more work in the interfaces between these
approaches for dealing creatively and effectively with different types
of uncertainty in different contexts, also having in mind real-world
applications.
This Conference is aimed at bringing together the specific expertise in
aspects of handling uncertainty within decision support models to build
a more comprehensive overview and integrated methodologies to tackle
the various sources and types of uncertainties at stake in optimization
and decision problems. The Conference will provide a forum in which
researchers coming from different scientific disciplines and areas can
discuss and share their experience regarding methodological approaches
to tackle uncertainty for obtaining robust conclusions in decision
support models and their applications.
Contributions from decision theory, Bayesian analysis, fuzzy sets,
rough sets, risk analysis, stochastic programming, sensitivity
analysis, robustness analysis, interval programming, inexact
programming, constraint programming, evolutionary algorithms and
meta-heuristics, multi-criteria analysis and multi-objective
optimization, among others, are expected both from methodological and
application perspectives, thus paving the way for a cross-fertilization
between distinct ways to incorporate the treatment of uncertainty in
optimization and decision support models.
This event follows up the successful conference on "Managing
Uncertainty in Decision Support Models" that was held in 2004.
Further details on http://www.inescc.pt/urpdm2010
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