Assessing of causes of accidents based on a novel integrated interval-valued Fermatean fuzzy methodology: towards a sustainable construction site

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dc.contributor.authorBouraima, Mouhamed Bayane
dc.contributor.authorGore, Abibata
dc.contributor.authorAyyildiz, Ertugrul
dc.contributor.authorYalcin, Selin
dc.contributor.authorBadi, Ibrahim
dc.contributor.authorKiptum, Clement Kiprotich
dc.contributor.authorQiu, Yanjun
dc.date.accessioned2024-03-13T10:30:43Z
dc.date.available2024-03-13T10:30:43Z
dc.date.issued2023
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractThe statistics pertaining to accidents occurring at construction sites underscore the pressing requirement for a substantial and timely reevaluation of safety measures within the construction sector. Accidents do not occur randomly; rather, they arise from the presence of unsafe actions, hazardous conditions, or a combination of both. The majority of accidents stem from a combination of contributing causes, including unsafe acts and conditions. To enhance safety performance on a broader scale, this study undertakes an extensive analysis to identify these causes, evaluate their importance, and determine the countries that are most and least impacted by them. Ten African countries were selected as potential alternatives based on the frequency of infrastructure construction projects. A thorough review of existing literature was conducted to establish a three-level criteria framework. The framework was further refined through the Modified Delphi method to gather expert opinions. The weights assigned to the criteria were determined using the interval-valued Fermatean fuzzy analytical hierarchy process methodology. The Technique for Order Preference by Similarity to Ideal Solution method under the same fuzzy environment was then employed to rank the alternative countries. A sensitivity analysis was carried out to assess the robustness of the proposed methodology. The analysis revealed that the main cause of accidents was attributed to poor management, as it included ineffective project supervision, inadequate safety policies, poor organizational structure, and inappropriate scheduling/planning as the main underlying sub-factors. Additionally, it was observed that the sixth alternative country exhibited the highest susceptibility to accidents occurring at construction sites.en_US
dc.identifier.doi10.1007/s00521-023-08948-5
dc.identifier.endpage21750en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue29en_US
dc.identifier.scopus2-s2.0-85168353906en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage21725en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-023-08948-5
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3509
dc.identifier.volume35en_US
dc.identifier.wosWOS:001051181600003en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInterval-valued Fermatean fuzzy setsen_US
dc.subjectCausal accidentsen_US
dc.subjectConstruction siteen_US
dc.subjectAHPen_US
dc.subjectTOPSISen_US
dc.titleAssessing of causes of accidents based on a novel integrated interval-valued Fermatean fuzzy methodology: towards a sustainable construction siteen_US
dc.typeArticleen_US

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