Keyword: uncertainty

Found 49 papers in total
Uncertainty quantification for a 1D thermo-hyperelastic coupled problem using polynomial chaos projection and p-FEMs
Uncertainty quantification for a 1D thermo-hyperelastic coupled problem using polynomial chaos projection and p-FEMs
2015,
We derive exact stochastic solutions that serve for comparison to numerical results,...
Multi-period supplier selection under price uncertainty
Multi-period supplier selection under price uncertainty
2014,
We consider a problem faced by a procurement manager who needs to purchase a large...
Robust constrained receding-horizon predictive control via bounded data uncertainties
Robust constrained receding-horizon predictive control via bounded data uncertainties
2009,
The main objective of this work consists of obtaining a new robust and stable Model...
The use of ordered weighted averaging method for decision making under uncertainty
The use of ordered weighted averaging method for decision making under uncertainty
2014,
A decision making under uncertainty (DMUU) prevails at the outset and often evolves...
Dealing with the devil of deviation: managing uncertainty during product development execution
Dealing with the devil of deviation: managing uncertainty during product development execution
2014,
This paper examines deviations in complex product development. Based on an extensive...
Sensitivity analysis of graphical functions
Sensitivity analysis of graphical functions
2014,
Despite high degrees of uncertainty associated with graphical functions, sensitivity...
Robust least square semidefinite programming with applications
Robust least square semidefinite programming with applications
2014,
In this paper, we consider a least square semidefinite programming problem under...
Bounds on survival probability given mean probability of failure per demand; and the paradoxical advantages of uncertainty
Bounds on survival probability given mean probability of failure per demand; and the paradoxical advantages of uncertainty
2014,
We explore effects of uncertainty on parameters of convex reliability functions. Given...
Computational uncertainty and the application of a high‐performance multiple precision scheme to obtaining the correct reference solution of Lorenz equations
Computational uncertainty and the application of a high‐performance multiple precision scheme to obtaining the correct reference solution of Lorenz equations
2012,
The computational uncertainty principle (CUP) is applied to explain the experimental...
Selling in channels with uncertain price
Selling in channels with uncertain price
2012,
In this article, we analyze the problem of selling through channels where the sales...
Price negotiation under uncertainty
Price negotiation under uncertainty
2011,
This paper examines supply contract negotiation when buyer's revenue and seller's cost...
Measures of problem uncertainty for scheduling with interval processing times
Measures of problem uncertainty for scheduling with interval processing times
2013,
The paper deals with scheduling under uncertainty of the job processing times. The...
On the approximability of adjustable robust convex optimization under uncertainty
On the approximability of adjustable robust convex optimization under uncertainty
2013,
In this paper, we consider adjustable robust versions of convex optimization problems...
Stochastic Nash equilibrium problems: sample average approximation and applications
Stochastic Nash equilibrium problems: sample average approximation and applications
2013,
This paper presents a Nash equilibrium model where the underlying objective functions...
Uncertainty modelling of large deformation process using a new aggregation rule of evidence
Uncertainty modelling of large deformation process using a new aggregation rule of evidence
2013,
The aggregation rule is critical when a high degree of conflict between different...
Set covering location models with stochastic critical distances
Set covering location models with stochastic critical distances
2013,
This paper formulates a new version of set covering models by introducing a...
Estimating Second Order Probability Beliefs from Subjective Survival Data
Estimating Second Order Probability Beliefs from Subjective Survival Data
2013,
Based on subjective survival probability questions in the Health and Retirement Study...
Environmental Uncertainty and IT Infrastructure Governance: A Curvilinear Relationship
Environmental Uncertainty and IT Infrastructure Governance: A Curvilinear Relationship
2011,
Extant research considers the IT governance choice to be a trade‐off between...
A Case‐Based Model of Probability and Pricing Judgments: Biases in Buying and Selling Uncertainty
A Case‐Based Model of Probability and Pricing Judgments: Biases in Buying and Selling Uncertainty
2012,
We integrate a case‐based model of probability judgment with prospect theory to...
Uncertainty importance measure for models with correlated normal variables
Uncertainty importance measure for models with correlated normal variables
2013,
In order to explore the contributions by correlated input variables to the variance of...
Separating the contributions of variability and parameter uncertainty in probability distributions
Separating the contributions of variability and parameter uncertainty in probability distributions
2013,
This paper proposes a computational methodology to quantify the individual...
Assessing the effects of stochastic perception error under travel time variability
Assessing the effects of stochastic perception error under travel time variability
2013,
Perceived mean‐excess travel time is a new risk‐averse route choice...
A robust von Neumann minimax theorem for zero‐sum games under bounded payoff uncertainty
A robust von Neumann minimax theorem for zero‐sum games under bounded payoff uncertainty
2011,
The celebrated von Neumann minimax theorem is a fundamental theorem in...
Application of Dempster–Shafer theory for the quantification and propagation of the uncertainty caused by the use of AIS data
Application of Dempster–Shafer theory for the quantification and propagation of the uncertainty caused by the use of AIS data
2013,
This paper proposes a novel method to quantify the uncertainty inherent to the paths...
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