An innovative approach to passport quality assessment based on the possibility q-rung ortho-pair fuzzy hypersoft set

Muhammad Saeed; Abdul Wahab; Mubashir Ali; Jawad Ali; Ebenezer Bonyah

doi:10.1016/j.heliyon.2023.e19379

An innovative approach to passport quality assessment based on the possibility q-rung ortho-pair fuzzy hypersoft set

Heliyon. 2023 Aug 25;9(9):e19379. doi: 10.1016/j.heliyon.2023.e19379. eCollection 2023 Sep.

Authors

Muhammad Saeed¹, Abdul Wahab¹, Mubashir Ali¹, Jawad Ali², Ebenezer Bonyah^{3

4}

Affiliations

¹ Department of Mathematics, University of Management and Technology, Lahore, 54770, Pakistan.
² Department of Mathematics, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
³ Department of Mathematics Education, Akenten Appiah Menkah University of Skills Training and Entrepreneurial Development, Kumasi, Ghana.
⁴ Department of Mathematics and Applied Mathematics, University of Johannesburg, Johannesburg 2006, South Africa.

Abstract

This research article aims to evaluate the quality of passports issued by different countries. Passport quality assessment is critical in ensuring secure and efficient international travel. By leveraging this novel structure, we address the limitations of existing methods and provide a comprehensive and accurate evaluation of passport quality. Our proposed PQROFHS (possibility q-rung orthopair fuzzy hypersoft set) based structure integrates various attributes related to passport quality, considering the inherent uncertainties and imprecisions associated with each attribute. Through extensive experimentation, we demonstrate the superior performance of our approach, achieving higher accuracy, reliability, and consistency than traditional methods. The flexibility of the PQROFHS framework allows for a nuanced representation of uncertainty, enabling informed decision-making in real-world scenarios. Implementing the presented approach can enhance global travel security, streamline immigration processes, and facilitate seamless international travel experiences. An explanatory example of a real-world problem is shown to demonstrate the suggested method.

Keywords: Decision making; Fuzzy set; Hypersoft set; Pythagorean fuzzy set; Soft set; q-Rung ortho-pair fuzzy set; q-Rung ortho-pair fuzzy soft set.