Interaction hamy mean operators for complex pythagorean fuzzy information and their applications to security threats in computers

Complex Pythagorean fuzzy set (CPFS) is a massive influential principle for managing ambiguity and inconsistent information in genuine life dilemmas. To determine the relationship among any number of attributes, the Hamy mean (HM) operators based on interaction operational laws are very dominant and massive flexible to manage awkward and problematic information. This study aims to combine the complex Pythagorean fuzzy (CPF) information with interactionHMoperators to initiate the CPF interaction HM (CPFIHM) operator, CPF interaction weighted HM (CPFIWHM) operator, CPF interaction dual HM (CPFIDHM) operator, CPF interaction weighted dual HM (CPFIWDHM) operator and their powerful properties. Additionally, a decision-making strategy for determining the security threats in the computer is elaborated under the interaction ofHMoperators based on the CPF setting. Numerous examples are illustrated with the help of presented operators to determine the consistency and flexibility of the investigated operators. Finally, with the help of sensitivity analysis, advantages, and geometrical representation, the supremacy, and efficiency of the presented works are also elaborated.

Automated summary

Complex Pythagorean fuzzy set (CPFS) is an influential principle for managing ambiguity and inconsistent information in genuine life dilemmas. This study combines CPFS with interaction HM operators to propose CPFIHM, CPFIWHM, CPFIDHM, and CPFIWDHM operators, and analyzes their properties. The study also applies these operators in a decision-making strategy for determining security threats in computer systems. The consistency and flexibility of these operators are illustrated through examples.