Security Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Information

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dc.contributor.authorNasir, Abdul
dc.contributor.authorJan, Naeem
dc.contributor.authorYang, Miin-Shen
dc.contributor.authorPamucar, Dragan
dc.contributor.authorMarinkovic, Dragan
dc.contributor.authorKhan, Sami Ullah
dc.date.accessioned2022-04-14T11:41:56Z
dc.date.available2022-04-14T11:41:56Z
dc.date.issued2022-03-25
dc.date.updated2022-04-08T13:43:12Z
dc.description.abstractIn today’s world, the countries that have easy access to energy resources are economically strong, and thus, maintaining a better geopolitical position is important. Petroleum products such as gas and oil are currently the leading energy resources. Due to their excessive worth, the petroleum industries face many risks and security threats. Observing the nature of such problems, it is asserted that the complex bipolar fuzzy information is a better choice for modeling them. Keeping the said problem in mind, this article introduces the novel structure of complex bipolar fuzzy relation (CBFR), which is basically used to find out the relationships between complex bipolar fuzzy sets (CBFSs). Similarly, the types of CBFRs are also defined, which is helpful during the process of analyzing and interpreting the problem. Moreover, some useful results and interesting properties of the proposed structures are deliberated. Further, a new modeling technique based on the proposed structures is initiated, which is used to investigate the security risks to petroleum industries. Furthermore, a detailed comparative analysis proves the advantages and supremacy of CBFRs over other structures. Therefore, the results achieved by the proposed methods are substantially reliable, practical and complete.en
dc.identifier.eissn2227-7390
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/16743
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-15521
dc.language.isoenen
dc.rightsLicensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitende
dc.subject.otherfuzzy setsen
dc.subject.otherbipolar fuzzy setsen
dc.subject.othercomplex bipolar fuzzy setsen
dc.subject.othercomplex bipolar fuzzy relationen
dc.subject.otheroil and gas sectorsen
dc.subject.othersecurity of petroleum industriesen
dc.subject.otherterrorist attacksen
dc.titleSecurity Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Informationen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber1067en
dcterms.bibliographicCitation.doi10.3390/math10071067en
dcterms.bibliographicCitation.issue7en
dcterms.bibliographicCitation.journaltitleMathematicsen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume10en
tub.accessrights.dnbfreeen
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Mechanik::FG Strukturmechanik und Strukturberechnungde
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.groupFG Strukturmechanik und Strukturberechnungde
tub.affiliation.instituteInst. Mechanikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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