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

In 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 industr...
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Autor*in:	Abdul Nasir [verfasserIn] Naeem Jan [verfasserIn] Miin-Shen Yang [verfasserIn] Dragan Pamucar [verfasserIn] Dragan Marinkovic [verfasserIn] Sami Ullah Khan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	fuzzy sets bipolar fuzzy sets complex bipolar fuzzy sets complex bipolar fuzzy relation oil and gas sectors security of petroleum industries

Übergeordnetes Werk:	In: Mathematics - MDPI AG, 2013, 10(2022), 7, p 1067
Übergeordnetes Werk:	volume:10 ; year:2022 ; number:7, p 1067

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/math10071067

Katalog-ID:	DOAJ024013978

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allfieldsGer	10.3390/math10071067 doi (DE-627)DOAJ024013978 (DE-599)DOAJdbab851061e64d0fba00b39736464eb9 DE-627 ger DE-627 rakwb eng QA1-939 Abdul Nasir verfasserin aut Security Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Information 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In 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. fuzzy sets bipolar fuzzy sets complex bipolar fuzzy sets complex bipolar fuzzy relation oil and gas sectors security of petroleum industries Mathematics Naeem Jan verfasserin aut Miin-Shen Yang verfasserin aut Dragan Pamucar verfasserin aut Dragan Marinkovic verfasserin aut Sami Ullah Khan verfasserin aut In Mathematics MDPI AG, 2013 10(2022), 7, p 1067 (DE-627)737287764 (DE-600)2704244-3 22277390 nnns volume:10 year:2022 number:7, p 1067 https://doi.org/10.3390/math10071067 kostenfrei https://doaj.org/article/dbab851061e64d0fba00b39736464eb9 kostenfrei https://www.mdpi.com/2227-7390/10/7/1067 kostenfrei https://doaj.org/toc/2227-7390 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 7, p 1067
allfieldsSound	10.3390/math10071067 doi (DE-627)DOAJ024013978 (DE-599)DOAJdbab851061e64d0fba00b39736464eb9 DE-627 ger DE-627 rakwb eng QA1-939 Abdul Nasir verfasserin aut Security Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Information 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In 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. fuzzy sets bipolar fuzzy sets complex bipolar fuzzy sets complex bipolar fuzzy relation oil and gas sectors security of petroleum industries Mathematics Naeem Jan verfasserin aut Miin-Shen Yang verfasserin aut Dragan Pamucar verfasserin aut Dragan Marinkovic verfasserin aut Sami Ullah Khan verfasserin aut In Mathematics MDPI AG, 2013 10(2022), 7, p 1067 (DE-627)737287764 (DE-600)2704244-3 22277390 nnns volume:10 year:2022 number:7, p 1067 https://doi.org/10.3390/math10071067 kostenfrei https://doaj.org/article/dbab851061e64d0fba00b39736464eb9 kostenfrei https://www.mdpi.com/2227-7390/10/7/1067 kostenfrei https://doaj.org/toc/2227-7390 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 7, p 1067
language	English
source	In Mathematics 10(2022), 7, p 1067 volume:10 year:2022 number:7, p 1067
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topic_facet	fuzzy sets bipolar fuzzy sets complex bipolar fuzzy sets complex bipolar fuzzy relation oil and gas sectors security of petroleum industries Mathematics
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callnumber-first	Q - Science
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spellingShingle	Abdul Nasir misc QA1-939 misc fuzzy sets misc bipolar fuzzy sets misc complex bipolar fuzzy sets misc complex bipolar fuzzy relation misc oil and gas sectors misc security of petroleum industries misc Mathematics Security Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Information
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topic_title	QA1-939 Security Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Information fuzzy sets bipolar fuzzy sets complex bipolar fuzzy sets complex bipolar fuzzy relation oil and gas sectors security of petroleum industries
topic	misc QA1-939 misc fuzzy sets misc bipolar fuzzy sets misc complex bipolar fuzzy sets misc complex bipolar fuzzy relation misc oil and gas sectors misc security of petroleum industries misc Mathematics
topic_unstemmed	misc QA1-939 misc fuzzy sets misc bipolar fuzzy sets misc complex bipolar fuzzy sets misc complex bipolar fuzzy relation misc oil and gas sectors misc security of petroleum industries misc Mathematics
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title	Security Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Information
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title_sort	security risks to petroleum industry: an innovative modeling technique based on novel concepts of complex bipolar fuzzy information
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title_auth	Security Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Information
abstract	In 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.
abstractGer	In 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.
abstract_unstemmed	In 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.
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title_short	Security Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Information
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Security Risks to Petroleum Industry: An Innovative Modeling Technique Based on Novel Concepts of Complex Bipolar Fuzzy Information

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