A Two-Dimensional Fuzzy Risk Assessment Model for Occupational Health and Safety Evaluations

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dc.contributor.authorYakut M.
dc.contributor.authorKaya I.
dc.contributor.authorBozkus E.
dc.date.accessioned2024-03-13T10:00:56Z
dc.date.available2024-03-13T10:00:56Z
dc.date.issued2022
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2022 -- 9 June 2022 through 11 June 2022 -- -- 180434en_US
dc.description.abstractIn working life, the danger in the environment and the risks arising from it are of great importance for the health and safety of the employees. In order for these pre-determined damaging factors to be evaluated correctly, an evaluation method suitable for that field of activity should be selected. Since real case risk assessment problems include many uncertainties, the fuzzy set theory (FST) that has a huge ability to model uncertainty has found a wide application area thanks to its easy and convenient solution approach to the solution of difficult and complex problems today. FST can be used to eliminate the uncertainties in classical risk analyzes in workplaces and to introduce new methods by applying different combinations. Combinations prepared using various methods make positive contributions to occupational health and safety (OHS) risk assessment processes. These combinations prepared using various methods. In this paper, one of fuzzy set extensions named Z-number has been integrated with the proposed methodology to improve ability that is modelling uncertainties. It ensures that the inadequacies in the existing risk assessment methods are eliminated. For this aim a new framework has been suggested. In the proposed model that we will propose in our study, the risks arising from the danger will be analyzed by using Fine Kinney Method that is one of the most widely used methods in OHS risk analysis. Grading of risks in the Fine Kinney method is obtained by multiplying the probability of occurrence of the risks, the frequency of exposure to the hazard and the numerical values of the effect it creates. Additionally, the proposed methodology consists of three MCDM methods such as DEMATEL, AHP or ANP and TOPSIS methodology. The DEMATEL method will be used to establish causality between hazards. The method AHP or ANP will be used to determine risk weights and the TOPSIS method will be used to determine hazards in order of priority. The proposed framework is also being constructed on Z-numbers and thus a new risk assessment methodology based on MCDM, and Fine-Kinney Methods is suggested. It will be advantageous to use Z-numbers to clarify the uncertainties. to ensure that risk assessments are more objective and to make its applicability even more possible. The proposed framework can be applied in a real case risk assessment problem to analyze its results. © 2022 IEEE.en_US
dc.identifier.doi10.1109/HORA55278.2022.9799805
dc.identifier.isbn9781665468350
dc.identifier.scopus2-s2.0-85133955216en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/HORA55278.2022.9799805
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2882
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofHORA 2022 - 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy logic fuzzy set theoryen_US
dc.subjectrisk assessmenten_US
dc.subjectz-numberen_US
dc.titleA Two-Dimensional Fuzzy Risk Assessment Model for Occupational Health and Safety Evaluationsen_US
dc.typeConference Objecten_US

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