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首页> 外文期刊>Journal of Optimization in Industrial Engineering >Using Hybrid Fuzzy PROMETHEE II and Fuzzy Binary Goal Programming for Risk Ranking: A Case Study of Highway Construction Projects
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Using Hybrid Fuzzy PROMETHEE II and Fuzzy Binary Goal Programming for Risk Ranking: A Case Study of Highway Construction Projects

机译：运用混合模糊PROMETHEE II和模糊二元目标规划进行风险评级：以公路建设项目为例

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摘要

Multi attribute decision making methods are considered as one of the most useful methods for solving ranking problems. In some decision making problems, while the alternatives for corresponding criteria are compared in a pairwise comparison manner, if the criteria are inherently fuzzy, debates will arise in ranking alternatives due to the closeness of the values of the criteria. In this research, the fuzzy PROMETHEE II is proposed as a solution in such conditions. First, using the ANP method, the criteria are weighted. Then, the ranking process is accomplished both by the fuzzy PROMETHEE II and the fuzzy TOPSIS methods. Finally, calculating Spearman correlation coefficient, the results of these two approaches are compared. Then, the most important risks are selected via the fuzzy binary goal programming and ranked again through the fuzzy PROMETHEE II and fuzzy TOPSIS methods finally, in the last step, these ranking two are compared. As a case study, highway construction risks are ranked through this method.
机译：多属性决策方法被认为是解决排名问题最有用的方法之一。在某些决策问题中，虽然以成对比较的方式比较了对应标准的备选方案，但是如果标准本质上是模糊的，则由于标准值的接近性，在对备选方案进行排名时会引起争论。在这项研究中，提出了模糊PROMETHEE II作为这种情况下的解决方案。首先，使用ANP方法对标准进行加权。然后，通过模糊的PROMETHEE II和模糊的TOPSIS方法来完成排名过程。最后，计算Spearman相关系数，比较了这两种方法的结果。然后，通过模糊二进制目标规划法选择最重要的风险，然后通过模糊PROMETHEE II和模糊TOPSIS方法再次对其进行排名，最后，将这两个排名进行比较。作为案例研究，通过这种方法对公路建设风险进行了分类。

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