Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information
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 securit...
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| Format: | Article |
| Language: | English |
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REA Press
2024-06-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_206974_2d165e32b85979ed820248643f742789.pdf |
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| _version_ | 1832579296386875392 |
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| author | Wania Iqba Shahziab Ashraf Maria Akram Muhammad Shazib Hameed |
| author_facet | Wania Iqba Shahziab Ashraf Maria Akram Muhammad Shazib Hameed |
| author_sort | Wania Iqba |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7294876554434662b07a81447b35f139 |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2024-06-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-7294876554434662b07a81447b35f1392025-01-30T12:23:26ZengREA PressBig Data and Computing Visions2783-49562821-014X2024-06-014213514510.22105/bdcv.2024.481526.1207206974Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation informationWania Iqba0Shahziab Ashraf1Maria Akram2Muhammad Shazib Hameed3Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology,Rahim Yar Khan 64200, Pakistan.Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology,Rahim Yar Khan 64200, Pakistan.Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology,Rahim Yar Khan 64200, Pakistan.Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology,Rahim Yar Khan 64200, Pakistan.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.https://www.bidacv.com/article_206974_2d165e32b85979ed820248643f742789.pdfoptimizationhesitant fuzzy setshybrid aggregationfephhwadecision-making |
| spellingShingle | Wania Iqba Shahziab Ashraf Maria Akram Muhammad Shazib Hameed Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information Big Data and Computing Visions optimization hesitant fuzzy sets hybrid aggregation fephhwa decision-making |
| title | Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information |
| title_full | Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information |
| title_fullStr | Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information |
| title_full_unstemmed | Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information |
| title_short | Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information |
| title_sort | enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information |
| topic | optimization hesitant fuzzy sets hybrid aggregation fephhwa decision-making |
| url | https://www.bidacv.com/article_206974_2d165e32b85979ed820248643f742789.pdf |
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