基于模糊BWM和MABAC的公共交通可持续评价新方法

Q3 Social Sciences
M. Keshavarz-Ghorabaee, M. Amiri, M. Hashemi-Tabatabaei, M. Ghahremanloo
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引用次数: 11

摘要

本文提出了一种新的混合多准则决策(MCDM)方法来评估德黑兰的可持续公共交通。评估标准已确定使用文献和专家的意见。该方法将模糊最佳-最差法(FBWM)和多属性边界逼近面积比法(MABAC)相结合。由三名专家组成的小组使用FBWM确定每个标准的权重和重要性。然后使用MABAC方法对可持续公共交通方案进行排名。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable Public Transportation Evaluation using a Novel Hybrid Method Based on Fuzzy BWM and MABAC
In this study, a novel hybrid multi-criteria decision-making (MCDM) method is proposed to evaluate sustainable public transportation in Tehran. Evaluation criteria have been identified using the literature and experts’ opinion. The proposed method integrates the fuzzy best-worst method (FBWM) and the multi-attributive border approximation area comparison (MABAC) method. a group of three experts determined the weight and importance of each criterion using FBWM. The MABAC method was then used to rank sustainable public transport alternatives.
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来源期刊
Open Transportation Journal
Open Transportation Journal Social Sciences-Transportation
CiteScore
2.10
自引率
0.00%
发文量
19
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