Fine-Kinney method based on fuzzy logic for natural gas pipeline project risk assessment

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dc.contributor.authorEfe, Burak
dc.contributor.authorEfe, oemer Faruk
dc.date.accessioned2024-02-23T13:43:54Z
dc.date.available2024-02-23T13:43:54Z
dc.date.issued2023
dc.departmentNEÜen_US
dc.description.abstractQuality function deployment (QFD) method allows reviewing of customer requirements (CRs) and design requirements (DRs) simultaneously in order to handle the correlations and relationships of CRs and DRs in calculations. It has been often combined with fuzzy numbers, because it provides to gather the judgments of experts in vagueness environment more correctly and easily. This paper suggests employing q-rung orthopair fuzzy number (q-ROFN) for improving the fuzzy QFD approach. The proposed q-ROFN based QFD method uses q-ROFN to adjust the importance degrees of CRs based the relationships between CRs and DRs with the help of the correlations and relationships of CRs and DRs. q-ROFN presents more information than numbers such as intuitionistic fuzzy number and Pythagorean fuzzy number about the correlations and relationships of CRs and DRs. Furthermore, this work proposes integrating Fine-Kinney method and QFD method to cope with limitations of Fine-Kinney method. VIKOR (VIsekriterijumska optimizacija i KOm-promisno Resenje) approach based on q-ROFN is also used to rank DRs. The proposed integrated method provides a novel decision support model for the natural gas pipeline project (NGPP) risk assessment. There is no study about the integration of Fine-Kinney, q-ROFN-based QFD, VIKOR methods. The most significant DR and the second most important DR for NGPP risk assessment are electrical sparks and coating type factor, respectively. The results of this model present a road map to the managers of NGPP for an occupational health and safety policy by ordering the failure modes.en_US
dc.identifier.doi10.1007/s00500-023-09108-6
dc.identifier.endpage16482en_US
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.issue22en_US
dc.identifier.scopus2-s2.0-85170360154en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage16465en_US
dc.identifier.urihttps://doi.org/10.1007/s00500-023-09108-6
dc.identifier.urihttps://hdl.handle.net/20.500.12452/10967
dc.identifier.volume27en_US
dc.identifier.wosWOS:001061576300001en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofSoft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectQuality Function Deploymenten_US
dc.subjectNatural Gas Pipeline Project Risk Assessmenten_US
dc.subjectVikoren_US
dc.subjectQ-Rung Orthopair Fuzzy Numberen_US
dc.subjectFine-Kinney Methoden_US
dc.titleFine-Kinney method based on fuzzy logic for natural gas pipeline project risk assessmenten_US
dc.typeArticleen_US

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