DIBR - Fuzzy MARCOS model for selecting a location for a heavy mechanized bridge

Duško Tešić, Darko Božanić, D. Pamučar, Jamalud Din
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引用次数: 12

Abstract

Introduction/purpose: The paper presents the DIBR-FMARCOS model of multi-criteria decision-making for defining a location for placing a bridge over an obstacle using a heavy mechanized bridge (TMM-3). After the application of the proposed model, the sensitivity analysis of the output results was performed and it was concluded that the model is stable, i.e. that the model gives consistent results and that its application is possible in real situations. Methods: The DIBR method was used to determine the weight coefficients of the criteria, while the ranking of alternatives was performed by the FuzzyMARCOS method. Results: The application of this model has led to the selection of the location for placing a bridge from the TMM-3 set, based on the defined criteria. After applying the proposed model, the sensitivity analysis of the output results was performed and the consistency of the output results of the method was proven. Conclusion: Finally, it was concluded that the proposed model can be applied in practice, because it gives stable output results. It was also concluded that the DIBR method facilitates the process of obtaining the weight coefficients of the criteria, and the FMARCOS method copes well with unclear and inaccurate input data and has good stability. This model can be further improved by more detailed operationalization of the criteria, as well as by the use of other different methods for determining the weights of the criteria and ranking.
重型机械化桥梁选址的模糊MARCOS模型
介绍/目的:本文提出了一种多准则决策的DIBR-FMARCOS模型,用于确定使用重型机械化桥梁(TMM-3)在障碍物上架设桥梁的位置。应用所提出的模型后,对输出结果进行敏感性分析,得出模型是稳定的,即模型给出的结果一致,可以应用于实际情况。方法:采用DIBR法确定各指标的权重系数,采用FuzzyMARCOS法对备选方案进行排序。结果:应用该模型,根据定义的标准,从TMM-3组中选择放置桥架的位置。应用该模型对输出结果进行敏感性分析,验证了该方法输出结果的一致性。结论:最后得出结论,该模型可以在实际中应用,因为它的输出结果稳定。结果表明,DIBR方法简化了准则权重系数的获取过程,FMARCOS方法能较好地应对输入数据不清晰、不准确的情况,且具有较好的稳定性。通过对标准进行更详细的操作化,以及使用其他不同的方法来确定标准的权重和排名,可以进一步改进该模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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24
审稿时长
12 weeks
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