A Fractile Model for Stochastic Interval Linear Programming Problems

H. Nasseri, S. Bavandi
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引用次数: 0

Abstract

In this paper, we first introduce a new category of mathematical programming where the problem coefficients are interval random variables. These problems include two different kinds of ambiguity in the problem coefficients which are being interval and being random. We use Fractile method to solve these problems. In this method, using the existing method, we change the interval problem coefficients to random mode and then we solve the random problem using Fractile method. Also, a numerical example is presented to show the effectiveness of this model. Finally, we emphasize that this approach can be useful for the model with multi-objective as a generalized model in the future study.
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随机区间线性规划问题的分形模型
在本文中,我们首先介绍了一类新的数学规划,其中问题系数是区间随机变量。这些问题包括问题系数中的两种不同类型的模糊性,即区间模糊性和随机模糊性。我们使用Fractile方法来解决这些问题。在该方法中,我们使用现有的方法,将区间问题的系数改为随机模式,然后使用分形方法来解决随机问题。通过算例验证了该模型的有效性。最后,我们强调,这种方法可以用于多目标模型作为未来研究中的广义模型。
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来源期刊
Journal of Optimization in Industrial Engineering
Journal of Optimization in Industrial Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
2.90
自引率
0.00%
发文量
0
审稿时长
32 weeks
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