Affiliations: [a] School of Mathematics, Thapar Institute of Engineering and Technology (Deemed University), Patiala, Punjab, India
| [b] Department of Mathematics, Graphic Era Deemed to be University, Dehradun, India
| [c] Applied Science Research Center, Applied Science Private University, Amman, Jordan
| [d] Istanbul Technical University, Industrial Engineering Department, Macka, Istanbul, Turkey
| [e] Department of Mathematics and Statistics, International Islamic University Islamabad, Pakistan
Correspondence:
[*]
Corresponding author. Prof. Cengiz Kahraman, Istanbul Technical University, Turkey. E-mail: [email protected].
Abstract: 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 interaction HM operators 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 of HM operators 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.
Keywords: Complex pythagorean fuzzy sets, interaction hamy mean operators, interaction dual hamy mean operators, security threats in computers
