Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making Problem
A novel idea called bipolar complex fuzzy set makes it simple to represent difficult and ambiguous information in practical issues. Confidence levels, bipolar fuzzy set, and complex fuzzy set are three distinct theories that were combined to form the basic theory of the Confidence levels bipolar com...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10387263/ |
| _version_ | 1797356435482345472 |
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| author | Muhammad Qiyas Muhammad Naeem Neelam Khan Salman Khan Faisal Khan |
| author_facet | Muhammad Qiyas Muhammad Naeem Neelam Khan Salman Khan Faisal Khan |
| author_sort | Muhammad Qiyas |
| collection | DOAJ |
| description | A novel idea called bipolar complex fuzzy set makes it simple to represent difficult and ambiguous information in practical issues. Confidence levels, bipolar fuzzy set, and complex fuzzy set are three distinct theories that were combined to form the basic theory of the Confidence levels bipolar complex fuzzy set. Confidence levels bipolar complex fuzzy set (CLBCFS)is used as a method for resolving perplexing and suspect circumstances that occur in daily life. In this article, we define idea of bipolar complicated fuzzy collection of confidence levels. To do this, we developed a number of operational laws. Further, utilizing bipolar complex fuzzy operational laws, we diagnose the theories of confidence level bipolar complex fuzzy averaging and geometric operators. We reviewed some significant findings and some features of the developed operators in order to reduce the impact of this study. In addition, we computed a multiple-attribute decision-making rule while the initiated approaches were present and attempted to support it with specific examples. Finally, we contrasted our defined work with numerous prevalent methodologies and also detailed their geometrical representations in order to assess the influence and supremacy of the defined work. |
| first_indexed | 2024-03-08T14:27:34Z |
| format | Article |
| id | doaj.art-dff22bae534b41b881851ebc38519589 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T14:27:34Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-dff22bae534b41b881851ebc385195892024-01-13T00:02:42ZengIEEEIEEE Access2169-35362024-01-01126204621410.1109/ACCESS.2023.334704310387263Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making ProblemMuhammad Qiyas0https://orcid.org/0000-0002-9219-6383Muhammad Naeem1https://orcid.org/0000-0003-4755-9381Neelam Khan2Salman Khan3https://orcid.org/0000-0002-2905-1755Faisal Khan4Department of Mathematics, Riphah International University Faisalabad Campus, Faisalabad, PakistanDepartment of Mathematics, Deanship of Applied Sciences, Umm Al-Qura University, Makkah, Saudi ArabiaDepartment of Mathematics, Abdul Wali Khan University Mardan, Mardan, PakistanDepartment of Computer Science, Abdul Wali Khan University Mardan, Mardan, PakistanCollege of Engineering and Informatics, National University of Ireland Galway, Galway, IrelandA novel idea called bipolar complex fuzzy set makes it simple to represent difficult and ambiguous information in practical issues. Confidence levels, bipolar fuzzy set, and complex fuzzy set are three distinct theories that were combined to form the basic theory of the Confidence levels bipolar complex fuzzy set. Confidence levels bipolar complex fuzzy set (CLBCFS)is used as a method for resolving perplexing and suspect circumstances that occur in daily life. In this article, we define idea of bipolar complicated fuzzy collection of confidence levels. To do this, we developed a number of operational laws. Further, utilizing bipolar complex fuzzy operational laws, we diagnose the theories of confidence level bipolar complex fuzzy averaging and geometric operators. We reviewed some significant findings and some features of the developed operators in order to reduce the impact of this study. In addition, we computed a multiple-attribute decision-making rule while the initiated approaches were present and attempted to support it with specific examples. Finally, we contrasted our defined work with numerous prevalent methodologies and also detailed their geometrical representations in order to assess the influence and supremacy of the defined work.https://ieeexplore.ieee.org/document/10387263/Complex fuzzy setbipolar fuzzy setconfidence levelsconfidence levels bipolar complex aggregation operators |
| spellingShingle | Muhammad Qiyas Muhammad Naeem Neelam Khan Salman Khan Faisal Khan Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making Problem IEEE Access Complex fuzzy set bipolar fuzzy set confidence levels confidence levels bipolar complex aggregation operators |
| title | Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making Problem |
| title_full | Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making Problem |
| title_fullStr | Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making Problem |
| title_full_unstemmed | Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making Problem |
| title_short | Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making Problem |
| title_sort | confidence levels bipolar complex fuzzy aggregation operators and their application in decision making problem |
| topic | Complex fuzzy set bipolar fuzzy set confidence levels confidence levels bipolar complex aggregation operators |
| url | https://ieeexplore.ieee.org/document/10387263/ |
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