Input Uncertainties: An Interval based Simulation and SecondOrder Monte Carlo Simulation

机译：输入不确定性：基于间隔的仿真和二阶蒙特卡洛仿真

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Usually the maximum likelihood estimation is used to estimate input parameters of simulation models. Thistraditional approach does not capture the uncertainties associated with the input parameters. In this paper,we present a new interval-based simulation mechanism to help improve simulation robustness whenuncertainties exist. The new mechanism incorporates variabilities and uncertainties in systems based onimprecise probabilities. We compare our simulation mechanism with the Second-Order Monte Carlosimulation for performance assessment.

机译：通常，最大似然估计用于估计仿真模型的输入参数。这传统方法无法捕获与输入参数相关的不确定性。在本文中，我们提出了一种新的基于间隔的仿真机制，以帮助提高仿真鲁棒性。存在不确定性。新机制结合了基于以下因素的系统中的可变性和不确定性：不精确的概率。我们将模拟机制与二阶蒙特卡洛进行比较用于绩效评估的模拟。

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《IIE annual conference and expo;Industrial engineering research conference》|2009年|p.1743-1748|共6页
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Ola G. Batarseh; Yan Wang;
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中图分类工业企业组织与管理;一般工业技术;
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Input Uncertainties: An Interval based Simulation and SecondOrder Monte Carlo Simulation

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