Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information

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Iqba Wania; Ashraf Shahzaib; Akram Maria; Hameed Muhammad Shazib

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Journal Paper

Paper Information

Journal: Big Data and Computing Visions Year:2025 | Volume:5 | Issue:2 Page(s): 135-145

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Title

Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information

Author(s)

Iqba Wania | Ashraf Shahzaib | Akram Maria | Hameed Muhammad Shazib | Issue Writer Certificate

Keywords

optimization

Hesitant fuzzy sets

Hybrid Aggregation

FePHHWA

Decision-making

Abstract

Optimizing airport security screening processes is imperative in the modern age, ensuring a delicate balance between stringent security measures and efficient, seamless travel experiences for passengers. This research presents an innovative paradigm for Decision-making that optimizes airport security screening procedures. By utilizing sophisticated fuzzy concepts, particularly Fermatean Probabilistic Hesitant fuzzy sets, the research presents new Hybrid Aggregation techniques known as Fermatean Probabilistic Hesitant Hybrid Weighted Averaging FePHHWA and Hybrid Weighted Geometric FePHHWG. These procedures are intended to improve the Decision-making process by providing a thorough method of addressing the intricacies of security screening. In addition to showcasing the flexibility and effectiveness of Fermatean Probabilistic Hesitant fuzzy sets, the suggested technique creates a strong foundation for resolving issues with airport security screening by utilizing the recently developed Hybrid Aggregation processes.

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