An intuitionistic fuzzy-based model for performance evaluation of EcoPorts

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dc.authoridKöleoğlu, Nilay / 0000-0002-6153-719X
dc.contributor.authorYalçın, Galip Cihan
dc.contributor.authorKara, Karahan
dc.contributor.authorToygar, Arda
dc.contributor.authorSimic, Vladimir
dc.contributor.authorPamucar, Dragan
dc.contributor.authorKöleoğlu, Nilay
dc.date.accessioned2025-01-27T18:53:27Z
dc.date.available2025-01-27T18:53:27Z
dc.date.issued2023
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThe EcoPort performance level serves as a basic indicator to determine the environmental status of a port and its achievement of certification standards. The European Sea Ports Organization has defined ten essential EcoPort criteria that contribute significantly to the assessment of EcoPort performance. The primary motivation for this study is to determine the importance of the criteria from the perspective of academics and chief officers, as well as to evaluate the EcoPort performance of six port authorities that comply with three basic certification standards for environmental management systems. The research methodology and application are conducted in four phases. In the first phase, experts, criteria, and alternative ports are identified. In the second phase, the importance levels of experts are determined using neutrosophic sets, while the criteria are weighted using the intuitionistic fuzzy weighting averaging operator. In the third phase, the alternative ranking order method accounting for two-step normalization (AROMAN) based on the intuitionistic fuzzy sets is introduced to evaluate the EcoPort performance of the ports. In the fourth phase, the results are supported by sensitivity analysis scenarios. The research results identified air pollution as the most critical criterion, while the Valencia Port Authority secured the highest rank in terms of EcoPort performance. Ultimately, this research contributes to the literature by developing and applying the new IF-AROMAN method for EcoPort performance evaluation. © 2023 Elsevier Ltd
dc.identifier.doi10.1016/j.engappai.2023.107192
dc.identifier.issn0952-1976
dc.identifier.scopus2-s2.0-85172133841
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2023.107192
dc.identifier.urihttps://hdl.handle.net/20.500.12428/12719
dc.identifier.volume126
dc.identifier.wosWOS:001084929300001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectAROMAN; EcoPorts; Environmental management; Intuitionistic fuzzy sets; Neutrosophic sets; Performance evaluation
dc.titleAn intuitionistic fuzzy-based model for performance evaluation of EcoPorts
dc.typeArticle

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