Investigation of Cyber-Security and Cyber-Crimes in Oil and Gas Sectors Using the Innovative Structures of Complex Intuitionistic Fuzzy Relations

• Main Authors: Naeem Jan, Abdul Nasir, Mohsin S. Alhilal, Sami Ullah Khan, Dragan Pamucar, Abdulrahman Alothaim
• Format: Article
• Language: English
• Published: MDPI AG 2021-08-01
• Series: Entropy
• Subjects: block chain; Cartesian product; complex intuitionistic fuzzy relation; complex intuitionistic fuzzy set; cyber-security; Hasse diagram
• Online Access: https://www.mdpi.com/1099-4300/23/9/1112

Recently, there has been enormous development due to advancements in technology. Industries and enterprises are moving towards a digital system, and the oil and gas industries are no exception. There are several threats and risks in digital systems, which are controlled through cyber-security. For the first time in the theory of fuzzy sets, this research analyzes the relationships between cyber-security and cyber-crimes in the oil and gas sectors. The novel concepts of complex intuitionistic fuzzy relations (CIFRs) are introduced. Moreover, the types of CIFRs are defined and their properties are discussed. In addition, an application is presented that uses the Hasse diagram to make a decision regarding the most suitable cyber-security techniques to implement in an industry. Furthermore, the omnipotence of the proposed methods is explained by a comparative study.