Assessment actions for improving railway sector performance using intuitionistic fuzzy-rough multi-criteria decision-making model

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dc.citation.spage110900
dc.citation.volume148
dc.contributor.authorBayane Bouraima, Mouhamed
dc.contributor.authorSaha, Abhijit
dc.contributor.authorStević, Zeljko
dc.contributor.authorAntucheviciene, Jurgita
dc.contributor.authorQiu, Yanjun
dc.contributor.authorMarton, Peter
dc.date.accessioned2024-11-22T08:38:36Z
dc.date.available2024-11-22T08:38:36Z
dc.date.issued2023
dc.description.abstractThe selection and prioritization of appropriate actions to improve the performance of the railway sector pose a common challenge for policymakers and transport planners. This challenge is further complicated by factors such as political power shifts, policy changes, and socio-economic and environmental impacts, introducing various uncertainties. To address this issue, a novel multi-criteria decision-making framework was developed in this study. The framework introduces the weighted geometric Dombi Maclaurin Symmetric Mean operator within an intuitionistic fuzzy environment, enabling the identification of the most appropriate action from nine different alternatives to enhance the performance of railway sector. Moreover, the study makes an additional contribution by combining this approach with an interval rough PIvot Pairwise RElative Criteria Importance Assessment to determine the weight coefficients of the criteria. To assess the robustness of the proposed methodology, sensitivity analysis and a comparative study were conducted. The findings of the study indicate that “enhancing the governance of the transport sector” emerged as the most appropriate action to improve the performance of the railway sector.
dc.identifier.doi10.1016/j.asoc.2023.110900
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/1327
dc.language.isoen
dc.publisherElsevier
dc.sourceApplied Soft Computing
dc.subjectRailway sector Performance Improvement action PIPRECIA WGDMSM MCDM
dc.titleAssessment actions for improving railway sector performance using intuitionistic fuzzy-rough multi-criteria decision-making model
dc.typeArticle
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Саобраћајни факултет [Научни радови] / Faculty of Transport and Traffic Engineering [Scientific papers]