Recognition principle for course allocations in higher institutions based on intuitionistic fuzzy correlation coefficient
To effectively evaluate relationships in uncertain environments, such as in decision-making, the idea of Intuitionistic Fuzzy Correlation Coefficient (IFCC) is employed. Several authors have provided many methods of IFCC, but their methods have some setbacks in correctness and accuracy. In this arti...
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education,
2025-03-01
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| Series: | Journal of Fuzzy Extension and Applications |
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| Online Access: | https://www.journal-fea.com/article_202100_e198ce53fee969821d90abfece49a5e0.pdf |
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| author | Paul Ejegwa Idoko Onyeke Victoria Adah |
| author_facet | Paul Ejegwa Idoko Onyeke Victoria Adah |
| author_sort | Paul Ejegwa |
| collection | DOAJ |
| description | To effectively evaluate relationships in uncertain environments, such as in decision-making, the idea of Intuitionistic Fuzzy Correlation Coefficient (IFCC) is employed. Several authors have provided many methods of IFCC, but their methods have some setbacks in correctness and accuracy. In this article, some novel methods of IFCC are developed that possess better exactness and reliability compared to the existing IFCC techniques. The new IFCC techniques possess high reliability and precision based on their mathematical formulations and the inclusion of all intuitionistic fuzzy parameters. The setbacks of the existing IFCC techniques are enumerated and verified with some numerical examples. Several of their properties are discussed in order to authenticate the novel IFCC techniques. More so, utilizing the new IFCC schemes in the issue of course allocations in higher institutions is discussed. Finally, the preeminence of the novel IFCC techniques is discussed in terms of precision and consistency with correlation principles by juxtaposing their effectiveness with other IFCC methods. |
| format | Article |
| id | doaj-art-f70820fabc8a4f9c9cabe3cd59fa916d |
| institution | Kabale University |
| issn | 2783-1442 2717-3453 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | Journal of Fuzzy Extension and Applications |
| spelling | doaj-art-f70820fabc8a4f9c9cabe3cd59fa916d2025-01-30T15:07:29ZengAyandegan Institute of Higher Education,Journal of Fuzzy Extension and Applications2783-14422717-34532025-03-01619410810.22105/jfea.2024.448400.1411202100Recognition principle for course allocations in higher institutions based on intuitionistic fuzzy correlation coefficientPaul Ejegwa0Idoko Onyeke1Victoria Adah2Department of Mathematics, Joseph Sarwuan Tarka University, Makurdi, Nigeria.Department of Computer Science, Joseph Sarwuan Tarka University, Makurdi, Nigeria.Department of Statistics, Joseph Sarwuan Tarka University, Makurdi, Nigeria.To effectively evaluate relationships in uncertain environments, such as in decision-making, the idea of Intuitionistic Fuzzy Correlation Coefficient (IFCC) is employed. Several authors have provided many methods of IFCC, but their methods have some setbacks in correctness and accuracy. In this article, some novel methods of IFCC are developed that possess better exactness and reliability compared to the existing IFCC techniques. The new IFCC techniques possess high reliability and precision based on their mathematical formulations and the inclusion of all intuitionistic fuzzy parameters. The setbacks of the existing IFCC techniques are enumerated and verified with some numerical examples. Several of their properties are discussed in order to authenticate the novel IFCC techniques. More so, utilizing the new IFCC schemes in the issue of course allocations in higher institutions is discussed. Finally, the preeminence of the novel IFCC techniques is discussed in terms of precision and consistency with correlation principles by juxtaposing their effectiveness with other IFCC methods.https://www.journal-fea.com/article_202100_e198ce53fee969821d90abfece49a5e0.pdfdecision-makingintuitionistic fuzzy correlation coefficientcourse allocationintuitionistic fuzzy set |
| spellingShingle | Paul Ejegwa Idoko Onyeke Victoria Adah Recognition principle for course allocations in higher institutions based on intuitionistic fuzzy correlation coefficient Journal of Fuzzy Extension and Applications decision-making intuitionistic fuzzy correlation coefficient course allocation intuitionistic fuzzy set |
| title | Recognition principle for course allocations in higher institutions based on intuitionistic fuzzy correlation coefficient |
| title_full | Recognition principle for course allocations in higher institutions based on intuitionistic fuzzy correlation coefficient |
| title_fullStr | Recognition principle for course allocations in higher institutions based on intuitionistic fuzzy correlation coefficient |
| title_full_unstemmed | Recognition principle for course allocations in higher institutions based on intuitionistic fuzzy correlation coefficient |
| title_short | Recognition principle for course allocations in higher institutions based on intuitionistic fuzzy correlation coefficient |
| title_sort | recognition principle for course allocations in higher institutions based on intuitionistic fuzzy correlation coefficient |
| topic | decision-making intuitionistic fuzzy correlation coefficient course allocation intuitionistic fuzzy set |
| url | https://www.journal-fea.com/article_202100_e198ce53fee969821d90abfece49a5e0.pdf |
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