Affiliations: [a] Department of Mathematics, University of Management and Technology, Lahore, Sialkot Campus, Pakistan
| [b] School of Mathematics, Northwest University, Xi’an, China
| [c] School of Science, Xi’an Polytechnic University, Xi’an, China
| [d] School of Mathematics, Thapar Institute of Engineering & Technology (Deemed University), Patiala, Punjab, India
| [e] Department of Mathematics, College of Science and Arts, King Khalid University, Muhayil, Abha, KSA
Abstract: In this article, we investigate the multi-criteria decision-making complications under Pythagorean fuzzy soft information. The Pythagorean fuzzy soft set (PFSS) is a proper extension of the Pythagorean fuzzy set (PFS) which discusses the parametrization of the attributes of alternatives. It is also a generalization of the intuitionistic fuzzy soft set (IFSS). The PFSS is used to precisely evaluate the deficiencies, anxiety, and hesitation in decision-making (DM). The most essential determination of the current study is to advance some operational laws along with aggregation operators (AOs) within the Pythagorean fuzzy soft environs such as Pythagorean fuzzy soft interaction weighted average (PFSIWA) and Pythagorean fuzzy soft interaction weighted geometric (PFSIWG) operators with their desirable features. Furthermore, a DM technique has been established based on the developed operators to solve multi-criteria decision-making (MCDM) problems. Moreover, an application of the projected method is presented for the selection of an effective hand sanitizer during the COVID-19 pandemic. A comparative analysis with the merits, effectivity, tractability, along with some available research deduces the effectiveness of this approach.
