DMU 2014 - The 2014 International Workshop on Decision Making under Uncertainty (DMU 2014)

Due to the incompleteness of the available information, the notion of uncertainty is often
used as a general terminology to describe the existing state or potential outcomes in a
variety of fields, such as economics, engineering, information and management science. To
the best of our knowledge, the real-world uncertainties can be classified into several
categories according to their specific attributes, for instance, fuzziness, randomness,
roughness and so on. Up to now, fuzzy set theory, probability theory and rough set theory
have been well-developed to handle these uncertainties in practice. Additionally, we note
that different uncertainties can also appear simultaneously in some complex
decision-making systems. Then some hybrid uncertain theories, including fuzzy random
theory, random fuzzy theory and fuzzy rough theory, are usually employed to handle these
two-fold uncertainties.
Uncertain decision making is an extension of the deterministic decision making method
under uncertainty, which has been used in many practical applications such as
transportation & logistics, risky project evaluation, financial management, information
systems, supply chain management and so on. This workshop aims to seek some
high-quality papers on new modeling methods, algorithms and applications, bring together
researchers in this field to present and discuss their latest work. All papers will require
having some numerical or experimental illustrations. Studies incorporating real-world
applications are highly encouraged.
Topics of interest include (but not limited to):
z Modeling Methods
Expected Value Model
Chance-Constrained Programming
Regret Minimization Model
Entropy Optimization Model z Solution Methodologies
Uncertain Simulation
Hybrid Intelligent Algorithm
Genetic Algorithm
Tabu Search Algorithm
z Real-World Applications
Transportation
Management
Information Systems
Economics
Supply Chain
Finance