运用混合模糊-多元决策模型,选择改善公共交通服务质素的可行方案

IF 0.4 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
S. Moradi, G. Sierpiński, H. Masoumi
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引用次数: 0

摘要

公共客运需要统一的计算方法。如果向所有公共交通公司和其他利益相关者提供统一的方法,如果计算和计算标准得到协调,他们将有更多的机会创建交通报价。因此,主要目标——改善公民流动性——将得以实现。因此,在研究中,我们提出了混合模糊方法来评估和提高公共交通服务质量。调查参与者的不可靠答复往往扭曲了群体对公共服务问题的决策,对计算程序的结束产生了负面影响。模糊多准则决策方法已经被使用。所提出的技术的优点是考虑了受访者对选择场景的判断的模糊程度,同时还使用了两个MCDM模型来消除回答中的偏见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SELECTION OF POSSIBLE SCENARIOS FOR IMPROVING THE QUALITY OF PUBLIC TRANSPORT SERVICES THROUGH THE USE OF HYBRID FUZZY-MCDM MODELS
A unified calculating approach is needed for public passenger transportation. All public transport companies and other stakeholders would have additional opportunities to create a transport offer if the unified methodology was made available to them and if calculations and calculation criteria were harmonized. Thus, the main goal – improving citizen mobility – would be accomplished. For this reason, in the study, we suggested the hybrid fuzzy methods for evaluating and improving the quality of public transport service. Unreliable responses of survey participants often distort group decision-making regarding the problem of public services, negatively affecting the end of the calculation procedure. Fuzzy multicriteria decision-making approach has been used. The suggested technique has the advantage of taking into account the degree of fuzzification of respondents' judgments about the choice scenario, while also using two MCDM models to eliminate bias in the responses.
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
52
审稿时长
20 weeks
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