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» Rough Sets for Uncertainty Reasoning
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CPAIOR
2010
Springer
15 years 2 months ago
Constraint Reasoning with Uncertain Data Using CDF-Intervals
Interval coefficients have been introduced in OR and CP to specify uncertain data in order to provide reliable solutions to convex models. The output is generally a solution set, ...
Aya Saad, Carmen Gervet, Slim Abdennadher
JANCL
2006
123views more  JANCL 2006»
14 years 9 months ago
Approximate databases: a support tool for approximate reasoning
This paper describes an experimental platform for approximate knowledge databases called the Approximate Knowledge Database (AKDB), based on a semantics inspired by rough sets. The...
Patrick Doherty, Martin Magnusson, Andrzej Szalas
EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 3 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
MP
2008
117views more  MP 2008»
14 years 9 months ago
Stochastic programming approach to optimization under uncertainty
In this paper we discuss computational complexity and risk averse approaches to two and multistage stochastic programming problems. We argue that two stage (say linear) stochastic ...
Alexander Shapiro
UAI
2008
14 years 11 months ago
A Game-Theoretic Analysis of Updating Sets of Probabilities
We consider how an agent should update her uncertainty when it is represented by a set P of probability distributions and the agent observes that a random variable X takes on valu...
Peter Grünwald, Joseph Y. Halpern