Evaluation of Cryptocurrency Markets Based on q-Rung Orthopair Fuzzy Hypersoft Frank Approach
The cryptocurrency, often known as virtual or digital currency, is one of the most significant breakthroughs brought about by digitalization. It has been mentioned recently, an innovative system for stockholders in particular. Cryptocurrencies of all kinds, including Bitcoin, Shib, Dogecoin, and Tet...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10327737/ |
| _version_ | 1827592953376276480 |
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| author | Sehrish Ayaz Amir Hussain Kifayat Ullah Nadia Khan Imran Siddique Jihad Ahmed Younis |
| author_facet | Sehrish Ayaz Amir Hussain Kifayat Ullah Nadia Khan Imran Siddique Jihad Ahmed Younis |
| author_sort | Sehrish Ayaz |
| collection | DOAJ |
| description | The cryptocurrency, often known as virtual or digital currency, is one of the most significant breakthroughs brought about by digitalization. It has been mentioned recently, an innovative system for stockholders in particular. Cryptocurrencies of all kinds, including Bitcoin, Shib, Dogecoin, and Tether are decentralized. Categorization complicates decision-making (DM) as well as the transfer of uncertainty and digital currency validation. The multi-attribute group decision-making (MAGDM) method is defined in this article using the Frank weighted averaging and Frank weighted geometric aggregation operators (AOs). This research examines the uniqueness of the qRung orthopair fuzzy hypersoft set (qROFHSS) that is responsive to volatilities, vagueness, doubt, and inaccurate data. Additionally, some specific essential qROFHSS operational laws are defined in this study. The framework presented here is the best alternative for understanding electronic money. This research supports the difficulty of situations involving making choices that must take into account a variety of qualities and sub-attributes to select the best choice. We see that Bitcoin has a variety of applications and that cryptocurrencies have an excellent chance to emerge as a prominent benefit lesson in financial choice-making. In this paper, to demonstrate the viability of the suggested methodology we look at a case study on choosing the best currency out of these that are accessible to manage cryptocurrency. Comparative analysis shows that the suggested strategy is stable and good. We conclude that the proposed methodology provides a thorough and systematic approach to analyzing cryptocurrency. Finally, a numerical example is provided to show the method’s efficiency. |
| first_indexed | 2024-03-09T02:04:08Z |
| format | Article |
| id | doaj.art-c2bbb98d062a425ca393f57a0e9c5072 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-09T02:04:08Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c2bbb98d062a425ca393f57a0e9c50722023-12-08T00:06:18ZengIEEEIEEE Access2169-35362023-01-011113454713455610.1109/ACCESS.2023.333600610327737Evaluation of Cryptocurrency Markets Based on q-Rung Orthopair Fuzzy Hypersoft Frank ApproachSehrish Ayaz0Amir Hussain1https://orcid.org/0000-0002-3535-9414Kifayat Ullah2https://orcid.org/0000-0002-1438-6413Nadia Khan3Imran Siddique4https://orcid.org/0000-0002-5060-7906Jihad Ahmed Younis5https://orcid.org/0000-0001-7116-3251Department of Mathematics and Statistics, The University of Lahore, Lahore, PakistanDepartment of Mathematics, Riphah International University, Lahore, Lahore, PakistanDepartment of Mathematics, Riphah International University, Lahore, Lahore, PakistanDepartment of Mathematics and Statistics, The University of Lahore, Lahore, PakistanDepartment of Mathematics, University of Sargodha, Sargodha, PakistanDepartment of Mathematics, Aden University, Aden, YemenThe cryptocurrency, often known as virtual or digital currency, is one of the most significant breakthroughs brought about by digitalization. It has been mentioned recently, an innovative system for stockholders in particular. Cryptocurrencies of all kinds, including Bitcoin, Shib, Dogecoin, and Tether are decentralized. Categorization complicates decision-making (DM) as well as the transfer of uncertainty and digital currency validation. The multi-attribute group decision-making (MAGDM) method is defined in this article using the Frank weighted averaging and Frank weighted geometric aggregation operators (AOs). This research examines the uniqueness of the qRung orthopair fuzzy hypersoft set (qROFHSS) that is responsive to volatilities, vagueness, doubt, and inaccurate data. Additionally, some specific essential qROFHSS operational laws are defined in this study. The framework presented here is the best alternative for understanding electronic money. This research supports the difficulty of situations involving making choices that must take into account a variety of qualities and sub-attributes to select the best choice. We see that Bitcoin has a variety of applications and that cryptocurrencies have an excellent chance to emerge as a prominent benefit lesson in financial choice-making. In this paper, to demonstrate the viability of the suggested methodology we look at a case study on choosing the best currency out of these that are accessible to manage cryptocurrency. Comparative analysis shows that the suggested strategy is stable and good. We conclude that the proposed methodology provides a thorough and systematic approach to analyzing cryptocurrency. Finally, a numerical example is provided to show the method’s efficiency.https://ieeexplore.ieee.org/document/10327737/qRung orthopair fuzzyqRung orthopair fuzzy hypersoft setsoft setcryptocurrency market |
| spellingShingle | Sehrish Ayaz Amir Hussain Kifayat Ullah Nadia Khan Imran Siddique Jihad Ahmed Younis Evaluation of Cryptocurrency Markets Based on q-Rung Orthopair Fuzzy Hypersoft Frank Approach IEEE Access qRung orthopair fuzzy qRung orthopair fuzzy hypersoft set soft set cryptocurrency market |
| title | Evaluation of Cryptocurrency Markets Based on q-Rung Orthopair Fuzzy Hypersoft Frank Approach |
| title_full | Evaluation of Cryptocurrency Markets Based on q-Rung Orthopair Fuzzy Hypersoft Frank Approach |
| title_fullStr | Evaluation of Cryptocurrency Markets Based on q-Rung Orthopair Fuzzy Hypersoft Frank Approach |
| title_full_unstemmed | Evaluation of Cryptocurrency Markets Based on q-Rung Orthopair Fuzzy Hypersoft Frank Approach |
| title_short | Evaluation of Cryptocurrency Markets Based on q-Rung Orthopair Fuzzy Hypersoft Frank Approach |
| title_sort | evaluation of cryptocurrency markets based on q rung orthopair fuzzy hypersoft frank approach |
| topic | qRung orthopair fuzzy qRung orthopair fuzzy hypersoft set soft set cryptocurrency market |
| url | https://ieeexplore.ieee.org/document/10327737/ |
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